Relevant bibliographies by topics / Cluster analіz

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cluster analіz'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Cluster analіz"

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Poljanec Borić, Saša, Anita Bušljeta Tonković, and Nikola Šimunić. "Sociodemografska analiza Podgorja." Senjski zbornik 44, no. 1 (2017): 517–54. http://dx.doi.org/10.31953/sz.44.1.28.

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Rad je oblikovan kao analiza slučaja temeljena na analizi sekundarne literature i kvalitativnim uvidima. U radu se afirmiraju teorijski koncepti društvene proizvodnje prostora, regije kao modela istraživanja radi definiranja razvojnog cilja i koncept clustera. Rasprava se sastoji od tri dijela: pregleda relevantne literature, analize postojeće socioekonomske slike Podgorja te razvojnoga scenarija podgorskoga prostora u okviru clustera doživljaja. U prvom se dijelu rada analizira postojeća literatura relevantna za razumijevanje društvene percepcije prostora u svijetu i u Hrvatskoj. Slijedi soci
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Janiga, Marek. "Wykorzystanie języka R do statystycznej analizy oraz analizy skupień dla danych geochemicznych." Nafta-Gaz 79, no. 9 (2023): 576–83. http://dx.doi.org/10.18668/ng.2023.09.02.

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W zagadnieniach geologii naftowej metody statystyczne są szeroko stosowane w petrografii, petrofizyce, geochemii, geomechanice, geofizyce wiertniczej czy sejsmice, a analiza skupień jest istotna w klasyfikacji skał – wyznaczaniu stref o pewnych własnościach, np. macierzystych lub zbiornikowych. Artykuł prezentuje użycie metod statystycznych, w tym metod analizy skupień, w procesach przetwarzania i analizy dużych zbiorów różnorodnych danych geochemicznych. Do analiz statystycznych wykorzystano literaturowe dane z analiz składu chemicznego i izotopowego gazów ziemnych. Wyniki zawierały skład che
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Marković, Milan, and Ivana Marjanović. "Analysis of poverty in the European Union: A cluster approach." Economics of Sustainable Development 9, no. 1 (2025): 29–38. https://doi.org/10.5937/esd2501029m.

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The purpose of this paper is to group the countries of the European Union according to selected poverty indicators. To this end, a cluster analysis based on the most recent annual data available (2023) was applied, which divides all European Union Member States into four clusters, as homogeneous units. The results show that the most successful countries belong to Central, Western and Northern Europe, which form a separate cluster (Cluster 1). On the other hand, the countries of Southern Europe, the Balkan countries as well as the Baltic countries, achieve poor performance and are classified in
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Kurniati, Rizki, Rossi Passerella, Indra Gifari Afriansyah, et al. "Nenadzirana praktična analiza ponašanja aviona A320 i B738 provedena u međunarodnoj zračnoj luci Sultan Hasanuddin." Sigurnost 66, no. 2 (2024): 125–37. http://dx.doi.org/10.31306/s.66.2.3.

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The purpose of this research was to look at the behavior of two well-known commercial aircraft types in Indonesia (the A320 and the B738) during the take-off phase. This was done to provide new information in the field of aviation, particularly flight safety. Observations were made at Sultan Hasanuddin International Airport by observing aircraft ADS-B data, which defines the behavior of the flight pattern. This ADS-B data is the subject of data analysis, which will subsequently be taught to the machine (computer) so that it can recognize the pattern and construct clusters. The purpose of this
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Bulut, Yunus. "DENETİMSİZ ÖĞRENME: KÜMELEME ANALİZİ İLE OECD ÜLKELERİNDE ÖZGÜRLÜK." International Journal of Educational and Social Sciences 2, no. 2 (2023): 83–106. https://doi.org/10.5281/zenodo.10429529.

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This study was carried out using cluster analysis, one of the unguided learning methods, to evaluate the economic freedom levels of OECD countries in 2023. With the optimal k value determined by using genetic algorithms and annealing simulation optimization algorithms, countries were examined with two different k-means clustering analyses. According to the results of the analysis, the annealing simulation method performed better than the genetic algorithm method. The high silhouette score indicates that the clusters formed by the simulated annealing method are more homogeneous and well separat
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Jankulovska, Mirjana, Dragana Rajković, Dragana Miladinović, et al. "Classification of rapeseed genotypes based on quantitative traits using multivariate techniques." Ratarstvo i povrtarstvo 58, no. 3 (2021): 88–93. http://dx.doi.org/10.5937/ratpov58-35477.

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The genetic variability of 13 rapeseed genotypes created in Serbia was assessed at the Institute of Field and Vegetable Crops, Novi Sad, in three consecutive years. The genotypes were evaluated and classified based on 10 quantitative traits (plant height, height to the first branch, stem width, number of lateral branches, number of leaves, number of pods, seed yield per plant, 1000 seed weight, oil content and protein content), using principal component analysis (PCA) and two-way cluster analysis. The first four PCs with eigenvalues >1 contributed to 83% of the total explained variance. The
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Jandrić, Maja, Dejan Molnar, and Svetozar Tanasković. "SOCIOEKONOMSKI I MIGRATORNI PROFILI NUTS 3 OBLASTI U SRBIJI." Ekonomske ideje i praksa, no. 53 (June 30, 2024): 45–61. http://dx.doi.org/10.54318/eip.2024.mj.373.

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Cilj ovog rada je analiza osnovnih socioekonomskih i migratornih obeležja pojedinih NUTS 3 oblasti u Srbiji i utvrđivanje grupa sa sličnim karakteristikama. U analizu je uključen veliki broj ekonomskih i demografskih pokazatelja koji se odnose na pojedine oblasti, kao i njihove performanse po pitanju internih i eksternih migracija. Primenom analize glavnih komponenata (engl. Principal Component Analysis − PCA), socioekonomska obeležja su podeljena u dve grupe (dva faktora): elemente koji upućuju na razvijenost i one koji ukazuju na demografsku sliku oblasti. U narednom koraku je izvršena klast
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Petković, Ivana. "The influence of intellectual capital on entrepreneurial performance (cluster analysis scenario)." Ekonomski pogledi 25, no. 1 (2023): 155–89. http://dx.doi.org/10.5937/ep25-43911.

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The main motive of this research is to determine the impact that intellectual capital has on entrepreneurial performance. The change in the performance of human capital as an indicator formed by the World Bank was used as a basis in order to define possible progress or stagnation in the development of intellectual capital in the countries of the European Union (including Great Britain) in comparison with Serbia. Namely, the human capital index as an integral part of intellectual capital will be analyzed using cluster analysis based on Ward's method, in order to determine groups of countries th
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SONKUR, Gazi. "Trends and Clusters in Income Tax Research: A Bibliometric Study." Fiscaoeconomia 8, no. 1 (2024): 93–108. http://dx.doi.org/10.25295/fsecon.1311940.

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Gelir vergisi; bir ekonomide politikacılar, akademisyenler ve vergi mükellefleri olmak üzere vergiye taraf olan tüm kesimler açısından oldukça önemli bir konudur. Bu bibliyometrik analiz, gelir vergisi konusunda yapılan yayınların eğilimlerini, en çok atıf alan makaleleri ve makale kümelerini analiz ederek bu konuda çalışılan araştırmalara genel bir bakış sağlamayı amaçlamaktadır. Bu çalışmada, 1975'ten 2022'ye kadar İngilizce dilinde Web of Science veri tabanında yayınlanmış gelir vergisi konulu makaleler araştırma sürecine dahil edilmiştir. Dahil edilen makaleler üzerinde ortak atıf analizi
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Miloš, Krstić. "Climate change in the EU: Analysis by clustering and regression." Serbian Journal of Management 18, no. 1 (2023): 111–32. http://dx.doi.org/10.5937/sjm18-43601.

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Climate change is often seen as the most global and complex problem the world has been facing during its current development. The emissions of harmful gases, rising temperatures, variable amounts of precipitation, the occurrence of extreme weather conditions affect all countries regardless of their geographical position and level of development. The subject and goal of this paper is to examine the impact of economic, technological and demographic determinants on CO2 emissions in 18 EU countries in the period from 2011 to 2020. In the research are used k-means clustering and panel regression an
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Dissertations / Theses on the topic "Cluster analіz"

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Занічковська, О. Ю. "Застосування апарату кластерного аналізу для розрахунку нормативних значень планових показників машинобудівного підприємства". Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/16976.

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Планування діяльності промислових підприємств традиційно спирається на формування системи планових показників, значення яких визначаються, виходячи зі стратегічних цілей підприємства, його поточного стану та нормативних значень цих показників. Нормативні (або рекомендовані) значення планових показників відіграють роль орієнтирів у процесі розробки планів та оцінки їх якості. У машинобудуванні за нормативні (рекомендовані) значення планових показників, співвідношень між ними чи динаміки їх зміни часто приймаються середньогалузеві значення за минулий період. Водночас раціональність такого підход
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Vanišová, Adéla. "Shluková analýza jako nástroj klasifikace objektů." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-114191.

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The aim of this thesis is to examine the cluster analysis ability segment the data set by selected methods. The data sets are consisting of quantitative variables. The basic criterion for the data sets is that the number of classes has to be known and the next criterion is that the membership of all object to each class has to be known too. Execution of the cluster analysis was based on knowledge about the number of classes. Classified objects to individual clusters were compared with its original classes. The output was the relative success of classification by selected methods. Cluster analy
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Den, Hollander Nikki, and Thorkell V. Thorsteinsson. "A Systematic Approach to Analyze Industrial Clusters : A Case Study of The Iceland Ocean Cluster." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279730.

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Regional industries see a trend of agglomeration of firms in concentrated economic areas. Firms in these regions convene and form a cluster with a wide array of intensive collaborations between the individual actors. The result is the enhancement of a variety of aspects in the region such as innovation, and entrepreneurial activities and attitudes. Research on cluster theory has shoZn an effectiYe Za\ of anal\]ing a cluster¶s strategy and current state by identifying the phase of a cluster in its Cluster Lifecycle. In order to locate a cluster in the Cluster Lifecycle, the characteristics of t
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Novák, Miroslav. "Hodnocení úspěšnosti koeficientů pro stanovení optimálního počtu shluků ve shlukové analýze." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193328.

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The objective of this thesis is the evaluation of selected coefficients of the cluster analysis when determining the optimal number of clusters. The analytical evaluation is performed on 20 independent real datasets. The analysis is made in statistical SYSTAT 13.1 Software. The application of coefficients RMSSTD, CHF, PTS, DB and Dunn's index on real datasets is the main part of this thesis, because the issue of evaluating the results of clustering is not devoted sufficient attention in scientific publications. The main goal is whether the selected coefficients of clustering can be applied in
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Löster, Tomáš. "Hodnocení výsledků metod shlukové analýzy." Doctoral thesis, Vysoká škola ekonomická v Praze, 2004. http://www.nusl.cz/ntk/nusl-77096.

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Cluster analysis includes a range of methods and practices that are used primarily for classification of objects. It takes an important role in many areas. Since the resulting distribution of objects into clusters may vary depending on the selected methods and specifications, it is appropriate to assess the results obtained. This paper proposes new ways of evaluating these results in a situation where objects are characterized by qualitative variables or by variables of different types. These coefficients can be used either to compare different methods (in terms of better outcomes) or for find
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Hammerbauer, Jiří. "Hodnocení úspěšnosti metod a koeficientů využívaných ve shlukové analýze." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193440.

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The diploma thesis explores with the evaluation of the success of selected indices for determining the number of clusters used in cluster analysis. The aim of this thesis is on the basis of various combinations of clustering methods and distances verify whether, alternatively using which clustering methods and distances is it possible to rely on the results of indices for determining the number of clusters. The results of success rate presented in the third chapter suggest that not all of indices for determining the number of clusters can be used universally. The most successful index is Dunn
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Körner, Tim. "Analog VLSI implementation of a local cluster neural net /." Paderborn : HNI, 2000. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015378431&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Lipták, Šimon. "Analýza vlastností shlukovacích algoritmů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403107.

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The aim of this master's thesis was to get acquainted with cluster analysis, clustering methods and their theoretical properties. It was necessary select clustering algorithms whose properties will be analyzed, find and select data sets on which these algorithms will be triggered. Also, the goal was to design and implement an application that will evaluate and display clustering results in an appropriate manner. The last step was to analyze the results and compare them with theoretical assumptions.
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FREDRIKSSON, DISA, and JOEL OLSSON. "Analys av systemarkitektur." Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192087.

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I detta kandidatexamensarbete som skrivits inom ämnet systemarkitektur undersöktes och besvarades ett antal frågeställningar som berör området. Projektets syfte var att undersöka användningen av DSM och forskningsverktyget IGTA++, som är en MATLAB-baserad algoritm. Kan de nämnda hjälpmedlen användas för att modularisera redan färdiga produkter, produkter med höga prestandakrav och specifika användningsområden och kan samma metod användas för olika produkter är frågor som besvaras. Genom att välja tre produkter med skilda användningsområden, krav på prestanda och precision samt olika produktark
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Hezoučký, Ladislav. "Nástroj pro shlukovou analýzu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237169.

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The master' s thesis deals with cluster data analysis. There are explained basic concepts and methods from this domain. Result of the thesis is Cluster analysis tool, in which are implemented methods K-Medoids and DBSCAN. Adjusted results on real data are compared with programs Rapid Miner and SAS Enterprise Miner.
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Books on the topic "Cluster analіz"

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Miksza, Peter, and Kenneth Elpus. Analyses of Data from Complex Survey Sampling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0011.

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This chapter introduces the specialized techniques necessary for analyzing data that have been gathered in a complex or multistage survey sample. The chapter details the methods most commonly used to collect complex survey data and then explains the specific statistical tools that must be employed to correctly analyze complex survey data. First, an overview of the various types of sampling methods is presented, beginning with simple random sampling and moving through other methods to finally discuss the commonly employed research techniques of cluster sampling. The chapter continues with a dis
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Cozzolino , Jr., Robert E. 2020 Presidential Campaign. The Rowman & Littlefield Publishing Group, 2021. https://doi.org/10.5040/9798881818005.

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As he has done for each presidential campaign since 1992, Robert E. Denton Jr. gathers a diverse collection of communications scholars to analyze specific areas of the most recent campaign season. Topics include early campaign rhetoric, the nomination process and conventions, candidate strategies, presidential debates, political advertising, the use of new media, and coverage of the campaigns. This volume looks at the 2020 presidential campaign from three perspectives. The first section addresses the major political campaign communication areas, including pre-primary/candidate surfacing, the c
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Pop, Liliana. Bourdieu in the Post-Communist World. Edited by Thomas Medvetz and Jeffrey J. Sallaz. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199357192.013.6.

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The collapse of the communist regimes in the former Soviet bloc and the subsequent economic, political, social, and cultural transformations opened up new challenges for social science research. Working with the methodological and conceptual tools of Pierre Bourdieu, including habitus, field, capital, symbolic power, hysteresis, and the logic of honor, among others, scholars have defined and addressed four clusters of important research questions: the possibility of systemic change and the emergence of “capitalism without capitalists”; mechanisms for legitimacy and stability, new configuration
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Mashhoon, Bahram. Nonlocal Newtonian Cosmology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803805.003.0010.

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We explore some of the cosmological implications of nonlocal gravity (NLG) theory, in which nonlocality is due to the gravitational memory of past events. Memory dies out in space and time. The fading of memory in time implies that in NLG the strength of the gravitational interaction must decrease with cosmic time. In the Newtonian regime of NLG, the nonlocal character of gravity simulates dark matter in spiral galaxies and clusters of galaxies. However, dark matter is considered indispensable as well for structure formation in standard models of cosmology. Can nonlocal gravity solve the probl
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Wittman, David M. Beyond the Schwarzschild Metric. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199658633.003.0019.

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General relativity explains much more than the spacetime around static spherical masses.We briefly assess general relativity in the larger context of physical theories, then explore various general relativistic effects that have no Newtonian analog. First, source massmotion gives rise to gravitomagnetic effects on test particles.These effects also depend on the velocity of the test particle, which has substantial implications for orbits around black holes to be further explored in Chapter 20. Second, any changes in the sourcemass ripple outward as gravitational waves, and we tell the century‐l
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Benjamin, Ruha. Recasting Race. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190465285.003.0009.

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This chapter deprovincializes science by examining genomic sovereignty beyond the US context. Genomics research presents different elements of appeal to different groups of people. Future medical benefits as a result of genomics research are anticipated in India as well as Mexico. Both nations are composed of geographically clustered subgroups, and researchers reason that it would be beneficial to analyze each group's genetic makeup for possible differences between them. In bioethnic markets, human bodies are classified into biologically meaningful subgroups rather than as individuals or as a
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Kress, George J., and John Snyder. Forecasting and Market Analysis Techniques. Greenwood Publishing Group, Inc., 1994. http://dx.doi.org/10.5040/9798400652943.

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Sales forecasting and market analysis are the cornerstones of the planning process. Yet, these two tasks are usually performed by people with only limited training in either area because most firms do not have full-time forecasters/market analysts. The authors acknowledge this situation and attempt to describe the key techniques for forecasting sales and analyzing markets in a format that meets the needs of an audience with limited quantitative skills. In addition to its basic approach, another strength of this book is that it combines the coverage of two key activities--forecasting and market
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Book chapters on the topic "Cluster analіz"

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Aschenbruck, Rabea, Gero Szepannek, and Adalbert F. X. Wilhelm. "Stability of Mixed-Type Cluster Partitions for Determination of the Number of Clusters." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_6.

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AbstractFor partitioning clustering methods, the number of clusters has to be determined in advance. One approach to deal with this issue are stability indices. In this paper several stability-based validation methods are investigated with regard to the k-prototypes algorithm for mixed-type data. The stability-based approaches are compared to common validation indices in a comprehensive simulation study in order to analyze preferability as a function of the underlying data generating process.
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Zhu, Jiabao. "Research on the Whole Life Cycle Management of Water Conservancy Project Based on K-means Algorithm." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7251-3_35.

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AbstractResearch on full life cycle management in water conservancy engineering is currently limited, resulting in issues like improper project siting, high construction costs, and insufficient risk management capabilities. To address these challenges, this paper proposes an innovative management approach using the K-means clustering algorithm. This method leverages the K-means algorithm's simplicity and fast convergence to cluster and analyze diverse data from different stages of water conservancy projects. It then presents these clustering results visually to assist project managers in makin
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Watson, Meg, Emily Michels, Andrew Spieldenner, Leonard W. Ortmann, and Drue H. Barrett. "Stories, Stigma and Sequences: HIV Cluster Detection and Response Activities Through a Narrative Ethics Lens." In Public Health Ethics Analysis. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92080-7_7.

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AbstractViral genetic sequences are generated as part of clinical care to treat people with HIV. Public health practitioners analyze these sequences, reported routinely through surveillance systems as part of disease reporting, to identify and respond to clusters of rapid HIV transmission. The ethical, social, and legal implications of this work have arisen against the backdrop of HIV stigma and amidst efforts to build trust with the HIV community. HIV disproportionately affects persons marginalized because of racism, homophobia, transphobia, or other socially stigmatized behaviors. The compou
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Peng, Xiyuan, Jia Guo, Miao Lei, and Yu Peng. "Analog Circuit Fault Diagnosis with Echo State Networks Based on Corresponding Clusters." In Advances in Neural Networks – ISNN 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21105-8_51.

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Genova, Enrico, Erica La Placa, and Calogero Vinci. "Cluster Analysis of Masonry Types to Analyze the Energy Performance of Historic Buildings: Preliminary Results." In Sustainability in Energy and Buildings 2023. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8501-2_17.

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(Gert) van Essen, G. W., and P. A. (Pieter) Bulsink. "Project OV-SAAL Cluster A: Widen an Existing Deck and Analyze Different Type of Joints." In High Tech Concrete: Where Technology and Engineering Meet. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59471-2_215.

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Ascari, Roberto, and Sonia Migliorati. "A New Regression Model for the Analysis of Microbiome Data." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_5.

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AbstractHuman microbiome data are becoming extremely common in biomedical research due to the relevant connections with different types of diseases. A widespread discrete distribution to analyze this kind of data is the Dirichletmultinomial. Despite its popularity, this distribution often fails in modeling microbiome data due to the strict parameterization imposed on its covariance matrix. The aim of this work is to propose a new distribution for analyzing microbiome data and to define a regression model based on it. The new distribution can be expressed as a structured finite mixture model wi
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Zhang, Jie, Yunteng He, Lei Lei, Yuzhong Yao, Stephen Bradford, and Wei Kong. "Electron Diffraction of Molecules and Clusters in Superfluid Helium Droplets." In Topics in Applied Physics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94896-2_8.

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AbstractIn an effort to solve the crystallization problem in crystallography, we have been engaged in developing a method termed “serial single molecule electron diffraction imaging” (SS-EDI). The unique features of SS-EDI are superfluid helium droplet cooling and field-induced orientation. With two features combined, the process constitutes a molecular goniometer. Unfortunately, the helium atoms surrounding the sample molecule also contribute to a diffraction background. In this chapter, we analyze the properties of a superfluid helium droplet beam and its doping statistics, and demonstrate t
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Sten, Oscar, Emanuela Del Dottore, Giulia Raffaele, Marilena Ronzan, Nicola M. Pugno, and Barbara Mazzolai. "Sporify: An Automated Tool to Quantify Spores in Z-Stacked 3D Samples." In Biomimetic and Biohybrid Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39504-8_12.

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AbstractIn recent years, fungi have attracted avid interest from the research community. This interest stems from several motives, including their network creation capabilities and fundamental role in the ecosystem. Controlled laboratory experiments of fungal behaviors are crucial to further understanding their role and functionalities.In this paper, we propose a method for automating the quantification and observation of fungal spores. Our approach consists of four steps: 1) a Z-stack image acquisition of the sample is performed, 2) a detection algorithm is applied to all Z-planes, 3) cluster
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Imoto, Masajiro, Kenji Maeda, and Akio Yoshida. "Use of Statistical Models to Analyze Periodic Seismicity Observed for Clusters in the Kanto Region, Central Japan." In Seismicity Patterns, their Statistical Significance and Physical Meaning. Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8677-2_18.

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Conference papers on the topic "Cluster analіz"

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Garces, Daniel, Yolanda Sanchez-Palencia, Samantha Jimenez, and Juan Llamas. "ENVIRONMENTAL STATISTICAL ANALYSIS OF THE BASINS OF THE MINING DISTRICT OF PONCE ENRIQUEZ (ECUADOR)." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s01.09.

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Camilo Ponce Enriquez is in the southwest coastal zone of Ecuador, and it is surrounded by 4 river basins (Gala, Tenguel, Siete and Pagua) with an area of 1,780 km2. Mining has been the main economic activity since 1980 and is classified as Artisanal and Small-Scale Mining Activity. However, since 2000s there is evidence of contamination by heavy metals in water and sediments due to irregular mining practices and inefficiency environmental�s regulations. Despite the evidence, there are not enough scientific studies, and few reports are published about chemistry and contamination. The study goa
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Roque, Dora, Martino Correia, Ricardo Cabral, et al. "InSAR displacement time series post-processing to back-analyze a slope failure." In 5th Joint International Symposium on Deformation Monitoring. Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13839.

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In this study, the failure of a slope adjacent to a motorway was back-analyzed based on InSAR data. The location of the slided area and the exact date of the event were not known in advance. A post-processing strategy was applied on the displacement time series in order to aid the detection of instability signs and to enable the identification of the location and the narrowing down of the time interval of the slide. InSAR displacement time series were obtained following the small baseline subset approach implemented on an automatic processing platform. Distributed scatterers were clustered bas
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Malskaya, Martha, Markian Malsky, and Yuri Zinko. "TOURIST CLUSTERS OF WESTERN UKRAINE AND THEIR SCIENTIFIC AND EDUCATIONAL SUPPORT." In TOURISM AND CONNECTIVITY 2020. University publishing house "Science and Economics", University of Economics - Varna, 2020. http://dx.doi.org/10.36997/tc2020.24.

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The issue of forming cluster structures is very relevant for tourist destinations and certain forms of tourism in Ukraine. The scope of the study is the tourist clusters of Western Ukraine, which are characterized by high tourist attractiveness. The purpose of the study is to analyze the factors of tourist clusters formation and to develop guidelines for their scientific and educational support. Methodological and procedural framework was used to develop cluster models, as well as to typify them and assess formal and informal connections between scientific, educational institutions and cluster
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Miyashiro, Satoshi, Satoshi Fujita, Mitsuhiro Itakura, and Taira Okita. "Molecular Dynamics Simulations to Evaluate the Effect of Applied Strain on Interstitial Cluster Formation and Orientation Under Collision Cascade Damage." In 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-54777.

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We conducted molecular dynamics (MD) simulations to analyze the strain influence on defect formation and orientation. Collision cascade damage was initiated under uniaxial applied strain with a PKA energy of 10 keV. The number of residual defects increased with applied strain because of the enhanced formation of larger defect cluster. We also applied uniaxial strain to the simulation cell which included an interstitial cluster and detected the change in its direction. The probability of a change in the defect cluster direction was significantly higher under strain. Results further showed that
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Ohama, Iku, Takuya Kida, and Hiroki Arimura. "Discovering Relevance-Dependent Bicluster Structure from Relational Data." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/359.

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In this paper, we propose a statistical model for relevance-dependent biclustering to analyze relational data. The proposed model factorizes relational data into bicluster structure with two features: (1) each object in a cluster has a relevance value, which indicates how strongly the object relates to the cluster and (2) all clusters are related to at least one dense block. These features simplify the task of understanding the meaning of each cluster because only a few highly relevant objects need to be inspected. We introduced the Relevance-Dependent Bernoulli Distribution (R-BD) as a prior
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Ferraz, Victor, Gabriel Olivato, Igor Magollo, and Murilo Naldi. "Improving automatic data extraction from financial statements with clustering analysis." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11952.

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The financial statement analysis is a fundamental part of the credit risk attribution process, producing documents that are valuable sources of information about companies’ economic and financial wealth. Large volumes of that type of document demand automatic data extraction, and locators drive the tools for that task. However, due to the lack of regulation, there is not a standard layout for such documents, which originates a variety of document structures. Such variety burdens the feature extraction tools, reducing their performance. Clustering analysis overcomes such burden by finding the b
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Balcılar, Mehmet. "Hope versus Reality: 20 Years of Economic Transition at the Turkish States of the Central Asia." In International Conference on Eurasian Economies. Eurasian Economists Association, 2012. http://dx.doi.org/10.36880/c03.00567.

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Twenty years passed now since the countries of the Central and East Europe (СEE) and the former Soviet Union (FSU) have begun the process of transformation from command to market economy and from one-party to a democratic rule. The transition process, at the beginning at least, started with very optimistic expectations in all countries. Transition is expected, as stated in the so-called ‘Washington Consensus’, create unprecedented growth and development. No one could envision failure and traps stuck the development and democracy. After 20 years, the transition economies clustered into differen
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Yao, Y., M. Wei, M. Ali, Y. Qiu, Y. Cui, and J. Leng. "Pattern Recognition for Wettability Alteration with Surfactants in Carbonate Reservoirs by Using Machine Learning." In SPE Improved Oil Recovery Conference. SPE, 2024. http://dx.doi.org/10.2118/218216-ms.

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Abstract Surfactants are widely applied agents to interact with the adsorbates on carbonate rock surface, which could alter wettability from oil-wetness to water-wetness and thus enhance oil recovery. Surfactant huff-puff is often conducted to achieve wettability alteration and has been applied under various conditions. Currently, many investigations have been reported to apply conventional data analysis methods to analyze different sets of surfactant huff-puff projects. Yet the application of machine learning algorithms to reveal the inherent patterns is rarely reported. In this study, we int
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Olson, Karen, Joshua Merritt, Rair Barraez, Garrett Fowler, Jackson Haffener, and Kyle Haustveit. "Sealed Wellbore Pressure Monitoring (SWPM) and Calibrated Fracture Modeling: The Next Step in Unconventional Completions Optimization." In SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212367-ms.

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Abstract Sealed Wellbore Pressure Monitoring (SWPM) has been utilized across North and South America Basins with over 16,000 stages monitored as of June 2022. Since May 2020, the analysis procedure has been automated using a cloud-based software platform designed to ingest, process, and analyze high-frequency hydraulic fracturing data (Iriarte et al., 2021). A real time option of SWPM was also developed to aid in real time fracturing decisions (Ramirez et al., 2022). The latest development is the added capability of a fracture model that can automatically history match the volume to first resp
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Subotic, Vladimir, Jose Carlos Sancho, Jesus Labarta, and Mateo Valero. "A Simulation Framework to Automatically Analyze the Communication-Computation Overlap in Scientific Applications." In 2010 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2010. http://dx.doi.org/10.1109/cluster.2010.33.

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Reports on the topic "Cluster analіz"

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Campi, Mercedes, and Marco Dueñas. Clusters and Resilience during the COVID–19 Crisis: Evidence from Colombian Exporting Firms. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004474.

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In this paper, we characterize the geography of Colombian exporting clusters and analyze how the COVID-19 crisis has affected Colombian exporters. We contribute to the industrial clusters literature by defining exporting clusters with bipartite network analysis and community detection tools. The methodology allows us to empirically detect product clusters, which are compared with an alternative definition of industrial clusters, and to consider the centrality of firms within clusters. Then, we analyze the firms trade margins during the COVID-19 crisis to evaluate whether belonging to an export
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Pittaluga, Lucía. Lecciones aprendidas por los programas del BID de apoyo a clusters en el Cono Sur: Resultados de los estudios de caso en Argentina (Río Negro), Brasil (São Paulo), Chile y Uruguay. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0009234.

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Desde hace algunos años, el Banco Interamericano de Desarrollo (BID) ha estado apoyando a Programas de Apoyo a los Clusters, en su mayoría en el Cono Sur. La presente consultoría analizó qué variables contribuyen a explicar el logro de los PAC para promover la creación de una institucionalidad público-privada dedicada al desarrollo de clusters. La base de este análisis fueron los PAC implementados en Chile, Argentina (Provincia de Río Negro), Brasil (Estado de São Paulo) y Uruguay. Se describen las características básicas de partida de los PAC estudiados y se muestra cómo éstas se fueron molde
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Novoa, Raúl, Juan Antonio Ketterer, Gabriela Szarfer, et al. Bancarización de clusters: La experiencia de la provincia de San Juan, Argentina. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0007796.

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El presente documento se basa en la experiencia obtenida a través de la ejecución del Programa de Crédito para el Desarrollo de la Producción y el Empleo en la Provincia de San Juan, Argentina, financiado parcialmente por el BID. Analiza los instrumentos de promoción utilizados para desarrollo de agrupamientos locales de PYMES dinámicas (clusters), verificando que --a diferencia de la experiencia de San Juan-- la asistencia para el acceso al crédito bancario y a otras fuentes de financiamiento no se encuentra entre los instrumentos utilizados, tanto en la experiencia internacional como a nivel
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Elliott, M. Report for CS 698-95 ?Directed Research ? Performance Modeling:? Using Queueing Network Modeling to Analyze the University of San Francisco Keck Cluster Supercomputer. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/883809.

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Pietrobelli, Carlo, and Roberta Rabellotti. Mejora de la competitividad en clusters y cadenas productivas en América Latina: El papel de las políticas. Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0009977.

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El presente estudio presenta algunas de las lecciones que se desprenden de la experiencia, así como recomendaciones de políticas que apoyan el progreso competitivo de las pymes en el mercado global. El estudio analiza el proceso de progreso competitivo de las pymes que participan en concentraciones empresariales (clusters) y cadenas productivas en los diferentes sectores productivos. El análisis se basa en información de doce nuevas concentraciones empresariales o cadenas productivas en América Latina, y en una extensa revisión de la literatura existente en el tema. El estudio representa la se
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Pérez, Timoteo, Unai San Miguel, Antonio Corral, and Iñigo Isusi. Contribución de las empresas al desarrollo en Latinoamérica. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0009808.

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Esta publicación analiza las actividades que realizan las empresas pertenecientes a cuatro clusters productivos en Argentina, Brasil, Chile y El Salvador y su grado de consecución de los Objetivos de Desarrollo del Milenio en sus regiones de influencia. En septiembre de 2000, en la "Cumbre del Milenio" de las Naciones Unidas, 147 Jefes de Estado y de Gobierno y un total de 189 países declararon su compromiso de hacer realidad para todos tanto el derecho al desarrollo como a la satisfacción de las necesidades básicas de toda la especie humana. En esta misma Cumbre, los países participantes reco
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Alonso-Robisco, Andrés, José Manuel Carbó, and José Manuel Carbó. Machine Learning methods in climate finance: a systematic review. Banco de España, 2023. http://dx.doi.org/10.53479/29594.

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Preventing the materialization of climate change is one of the main challenges of our time. The involvement of the financial sector is a fundamental pillar in this task, which has led to the emergence of a new field in the literature, climate finance. In turn, the use of Machine Learning (ML) as a tool to analyze climate finance is on the rise, due to the need to use big data to collect new climate-related information and model complex non-linear relationships. Considering the proliferation of articles in this field, and the potential for the use of ML, we propose a review of the academic lite
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Canto, Patricia, ed. Heterogeneous Social Capitals: A New Window of Opportunity for Local Economies. Universidad de Deusto, 2010. http://dx.doi.org/10.18543/gwvw3770.

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In this paper we analyze the relationship between hot topics in economic development such as global knowledge pipelines (GKP), tacit knowledge (TK) and social capital (SC). In particular, echoing the work of Gertler (2003) and Bathelt et al. (2004) we stress that GKPs are important not only as conveyors of codified knowledge, but also of TK. In this paper, we make two additional operations; the first is extending the concept of TK to include systematically the concept of SC. Traditionally, TK tends to be conceived as individual experiential knowledge based on practice, in a way part of the hum
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