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Dissertations / Theses on the topic 'Hierarchical cluster'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Puch-Solis, Roberto O. "Hierarchical junction trees." Thesis, University of Warwick, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365243.

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2

Tittley, Eric Robert. "Hierarchical clustering and galaxy cluster scaling laws." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0008/NQ40291.pdf.

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3

Takahashi, Atsushi. "Hierarchical Cluster Analysis of Dense GNSS Data and Interpretation of Cluster Characteristics." Kyoto University, 2019. http://hdl.handle.net/2433/244510.

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4

Prokopenko, Sergiy. "Hierarchical binary spatial regression models with cluster effects." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=972223851.

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5

Kumar, Swapnil. "Comparison of blocking and hierarchical ways to find cluster." Kansas State University, 2017. http://hdl.handle.net/2097/35425.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>Clustering in data mining is a process of discovering groups in a set of data such that the similarity within the group is maximized and the similarity among the groups is minimized. One way of approaching clustering is to treat it as a blocking problem of minimizing the maximum distance between any two units within the same group. This method is known as Threshold blocking. It works by applying blocking as a graph partition problem. Chameleon is a hierarchical clustering algorithm, that based on d

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6

Butchart, Kate. "Hierarchical clustering using dynamic self organising neural networks." Thesis, University of Hertfordshire, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338383.

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7

Annakula, Chandravyas. "Hierarchical and partitioning based hybridized blocking model." Kansas State University, 2017. http://hdl.handle.net/2097/35468.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>(Higgins, Savje, & Sekhon, 2016) Provides us with a sampling blocking algorithm that enables large and complex experiments to run in polynomial time without sacrificing the precision of estimates on a covariate dataset. The goal of this project is to run the different clustering algorithms on top of clusters formed from above mentioned blocking algorithm and analyze the performance and compatibility of the clustering algorithms. We first start with applying the blocking algorithm on a covariate dataset

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8

Riley, Owen G. "Termediator-II: Identification of Interdisciplinary Term Ambiguity Through Hierarchical Cluster Analysis." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4030.

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Technical disciplines are evolving rapidly leading to changes in their associated vocabularies. Confusion in interdisciplinary communication occurs due to this evolving terminology. Two causes of confusion are multiple definitions (overloaded terms) and synonymous terms. The formal names for these two problems are polysemy and synonymy. Termediator-I, a web application built on top of a collection of glossaries, uses definition count as a measure of term confusion. This tool was an attempt to identify confusing cross-disciplinary terms. As more glossaries were added to the collection, this mea

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Parin, Ylenia <1994&gt. "Revealing Hierarchical Object Processing in Rat’s Visual System Using Cluster Analysis." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/13369.

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Being able of recognizing objects despite changes in their appearance is a necessary skill for the vast majority of living beings. Visual systems, such the one of rats, can solve this task without an apparent effort and with surprising speed. In order to do that, the visual cortex must be able to build a representation of a specific visual stimulus that is invariant to identity-preserving transformations. In particular, the rat lateral extrastriate areas are thought to be organized as a hierarchy, each one representing features of a certain complexity. Several studies have shown that, along th

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10

Aleksakhin, Vladyslav. "Visualization of gene ontology and cluster analysis results." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-21248.

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The purpose of the thesis is to develop a new visualization method for Gene Ontologiesand hierarchical clustering. These are both important tools in biology andmedicine to study high-throughput data such as transcriptomics and metabolomicsdata. Enrichment of ontology terms in the data is used to identify statistically overrepresentedontology terms, that give insight into relevant biological processes orfunctional modules. Hierarchical clustering is a standard method to analyze andvisualize data to nd relatively homogeneous clusters of experimental data points.Both methods support the analysis

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Bhatta, Dilli. "A Bayesian Test of Independence for Two-way Contingency Tables Under Cluster Sampling." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-dissertations/128.

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We consider a Bayesian approach to the study of independence in a two-way contingency table obtained from a two-stage cluster sampling design. We study the association between two categorical variables when (a) there are no covariates and (b) there are covariates at both unit and cluster levels. Our main idea for the Bayesian test of independence is to convert the cluster sample into an equivalent simple random sample which provides a surrogate of the original sample. Then, this surrogate sample is used to compute the Bayes factor to make an inference about independence. For the test of indepe

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12

Majeed, Salar Mustafa. "Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach." Thesis, University of South Wales, 2010. https://pure.southwales.ac.uk/en/studentthesis/cluster-detection-and-analysis-with-geospatial-datasets-using-a-hybrid-statistical-and-neural-networks-hierarchical-approach(c57662b9-b685-4cfb-bd04-33e6e1655758).html.

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Spatial datasets contain information relating to the locations of incidents of phenomena for example, crime and disease. Areas that contain a higher than expected incidence of the phenomena, given background population and census datasets, are of particular interest. By analysing the locations of potential influence, it may be possible to establish where a cause and effect relationship is present in the observed process. Cluster detection techniques can be applied to such datasets in order to reveal information relating to the spatial distribution of the cases. Research in these areas has main

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13

Ertugrul, Hamza Oguz. "Determination Of Weak Transmission Links By Cluster Analysis." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12611236/index.pdf.

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Due to faults and switching, transmission lines encounter power oscillations referred as power swings. Although in most cases they do not lead to an eventual instability, severe changes in power flows on the lines may cause the operation of impedance relays incorrectly, leading to cascaded tripping of other lines. Out-of-Step tripping function is employed in modern distance relays to distinguish such an unstable swing but setting the parameters and deciding lines to be tripped require detailed dynamic power system modelling and analysis. The proposed method aims to determine possible out-of-s

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Wang, Xinyu. "Toward Scalable Hierarchical Clustering and Co-clustering Methods : application to the Cluster Hypothesis in Information Retrieval." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE2123/document.

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Comme une méthode d’apprentissage automatique non supervisé, la classification automatique est largement appliquée dans des tâches diverses. Différentes méthodes de la classification ont leurs caractéristiques uniques. La classification hiérarchique, par exemple, est capable de produire une structure binaire en forme d’arbre, appelée dendrogramme, qui illustre explicitement les interconnexions entre les instances de données. Le co-clustering, d’autre part, génère des co-clusters, contenant chacun un sous-ensemble d’instances de données et un sous-ensemble d’attributs de données. L’application

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15

Pereira, Sandra M. C. "Analysis of spatial point patterns using hierarchical clustering algorithms." University of Western Australia. School of Mathematics and Statistics, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0056.

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[Formulae and special characters can only be approximated here. Please see the pdf version of the abstract for an accurate reproduction.] This thesis is a new proposal for analysing spatial point patterns in spatial statistics using the outputs of popular techniques of (classical, non-spatial, multivariate) cluster analysis. The outputs of a chosen hierarchical algorithm, named fusion distances, are applied to investigate important spatial characteristics of a given point pattern. The fusion distances may be regarded as a missing link between the fields of spatial statistics and multivariate

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16

Ren, Yan. "A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337085531.

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Zubková, Kateřina. "Text mining se zaměřením na shlukovací a fuzzy shlukovací metody." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382412.

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This thesis is focused on cluster analysis in the field of text mining and its application to real data. The aim of the thesis is to find suitable categories (clusters) in the transcribed calls recorded in the contact center of Česká pojišťovna a.s. by transferring these textual documents into the vector space using basic text mining methods and the implemented clustering algorithms. From the formal point of view, the thesis contains a description of preprocessing and representation of textual data, a description of several common clustering methods, cluster validation, and the application its

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18

Gendreau, Audrey A. "Enhanced Deployment Strategy for Role-based Hierarchical Application Agents in Wireless Sensor Networks with Established Clusterheads." NSUWorks, 2014. http://nsuworks.nova.edu/gscis_etd/163.

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Efficient self-organizing virtual clusterheads that supervise data collection based on their wireless connectivity, risk, and overhead costs, are an important element of Wireless Sensor Networks (WSNs). This function is especially critical during deployment when system resources are allocated to a subsequent application. In the presented research, a model used to deploy intrusion detection capability on a Local Area Network (LAN), in the literature, was extended to develop a role-based hierarchical agent deployment algorithm for a WSN. The resulting model took into consideration the monitoring

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19

Gupta, Pramod. "Robust clustering algorithms." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39553.

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One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across any different fields ranging from computational biology to social sciences to computer vision in part because they are simple and their output is easy to interpret. However, many of these algorithms lack any performance guarantees when the data is noisy, incomplete or has outliers, which is the case for most real world data. It is well known that standard linkage algorithms perform extremely poorly in presence of noise. In this work we propose two new robust algori

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Šulc, Zdeněk. "Similarity Measures for Nominal Data in Hierarchical Clustering." Doctoral thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-261939.

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This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical cl

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Maršálková, Kateřina. "Hodnocení úspěšnosti metod shlukové analýzy." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193327.

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Cluster analysis is one of the classification methods of multivariate statistical analysis. The task of this analysis is to classify the objects into clusters so that objects inside these clusters are as similar as possible. The aim of this study is to evaluate the success of the classification of objects using six hierarchical cluster analysis methods. To reflect the distance between the objects, are used squared Euclidean and Mahalanobis distances. The success methods are evaluated through the information, which cluster the object belongs to, and this information is already contained in the

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22

Collin, Sara, and Ingrid Möllerberg. "Designing an Interactive tool for Cluster Analysis of Clickstream Data." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414237.

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The purpose of this study was to develop an interactive tool that enables identification of different types of users of an application based on clickstream data. A complex hierarchical clustering algorithm tool called Recursive Hierarchical Clustering (RHC) was used. RHC provides a visualisation of user types as clusters, where each cluster has its own distinguishing action pattern, i.e., one or several consecutive actions made by the user in the application. A case study was conducted on the mobile application Plick, which is an application for selling and buying second hand clothes. During t

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Saifrtová, Barbora. "Shluková analýza okresů ČR z pohledu demografických ukazatelů." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-197414.

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Master thesis deals with dividing destricts of the Czech Republic in to clusters acording to demographic indicators during the year 2011. After the theoretical introduction with exploratory data analyiss, factor analysis and cluster analysis is described practical implementation of agglomerative hierarchical clustering. Within the frame cluster analysis we compare results calculated by four methods of clustering, which are the single linkage method, the complete linkage method, the average linkage method and Ward's method. At the conclusion we select the method which divides destricts of the C

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Boatin, William. "Characterization of neuron models." Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-04182005-181732/.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006.<br>Dr. Robert H. Lee, Committee Member ; Dr. Kurt Wiesenfeld, Committee Member ; Dr Robert J. Butera, Committee Member.

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Zhao, Jianmin. "Optimal Clustering: Genetic Constrained K-Means and Linear Programming Algorithms." VCU Scholars Compass, 2006. http://hdl.handle.net/10156/1583.

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Glaman, Ryan. "Comparing Three Approaches for Handling a Fourth Level of Nesting Structure in Cluster-Randomized Trials." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011881/.

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This study compared 3 approaches for handling a fourth level of nesting structure when analyzing data from a cluster-randomized trial (CRT). CRTs can include 3 levels of nesting: repeated measures, individual, and cluster levels. However, above the cluster level, there may sometimes be an additional potentially important fourth level of nesting (e.g., schools, districts, etc., depending on the design) that is typically ignored in CRT data analysis. The current study examined the impact of ignoring this fourth level, accounting for it using a model-based approach, and accounting it using a desi

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Li, Na. "MMD and Ward criterion in a RKHS : application to Kernel based hierarchical agglomerative clustering." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0033/document.

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La classification non supervisée consiste à regrouper des objets afin de former des groupes homogènes au sens d’une mesure de similitude. C’est un outil utile pour explorer la structure d’un ensemble de données non étiquetées. Par ailleurs, les méthodes à noyau, introduites initialement dans le cadre supervisé, ont démontré leur intérêt par leur capacité à réaliser des traitements non linéaires des données en limitant la complexité algorithmique. En effet, elles permettent de transformer un problème non linéaire en un problème linéaire dans un espace de plus grande dimension. Dans ce travail,

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Kuang, Da. "Nonnegative matrix factorization for clustering." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52299.

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This dissertation shows that nonnegative matrix factorization (NMF) can be extended to a general and efficient clustering method. Clustering is one of the fundamental tasks in machine learning. It is useful for unsupervised knowledge discovery in a variety of applications such as text mining and genomic analysis. NMF is a dimension reduction method that approximates a nonnegative matrix by the product of two lower rank nonnegative matrices, and has shown great promise as a clustering method when a data set is represented as a nonnegative data matrix. However, challenges in the widespread use o

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Yenket, Renoo. "Understanding methods for internal and external preference mapping and clustering in sensory analysis." Diss., Kansas State University, 2011. http://hdl.handle.net/2097/8770.

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Doctor of Philosophy<br>Department of Human Nutrition<br>Edgar Chambers IV<br>Preference mapping is a method that provides product development directions for developers to see a whole picture of products, liking and relevant descriptors in a target market. Many statistical methods and commercial statistical software programs offering preference mapping analyses are available to researchers. Because of numerous available options, there are two questions addressed in this research that most scientists must answer before choosing a method of analysis: 1) are the different methods providing the

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Piyathilake, Darshi. "The role of airports in national civil aviation policies." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/12383.

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The concept of a hub airport has evolved widening its scope as a national civil aviation policy-making tool, due to the ability to deliver wider socio-economic benefits to a country. However, not all airports can be converted into hubs. This research proposes a methodological approach to structural analysis of the airport industry, that could be applied to determine the competitive position of an airport in a given aviation network and devise airport strategies and national policy measures to improve the current position of the airport. This study presents a twelve-group taxonomy of airports,

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Stout, Tyler. "Multilevel modeling issues and the measurement of stress is multilevel data." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2979.

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Multilevel datasets are commonly used and increasingly popular in research in the organizational and other social sciences. These models are complex and have many elements beyond those found in more traditional linear models. However, research on how multilevel models perform is lacking. The current paper examined the impact of common factors (average cluster size, cluster size distribution, average number of clusters, strength of the intraclass correlation coefficient, and effect sizes of individual and cluster level variables, and their interaction) in multilevel datasets. Monte Carlo data s

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Eldridge, Justin Eldridge. "Clustering Consistently." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1512070374903249.

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Carvalho, Priscilla Ramos. "Estudo comparativo dos algoritmos hierárquicos de análise de agrupamentos em resultados experimentais." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/85/85131/tde-31102018-112210/.

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Objetivou-se, com este trabalho, estudar os métodos hierárquicos de análise de agrupamentos (ligação simples, ligação completa, ligação média, centróide e de Ward com base nas distâncias Euclidiana, Euclidiana ao quadrado, Manhattan e Mahalanobis), de modo a identificar qual é o mais adequado para uma base de dados arqueológicos. Utilizou-se uma base de dados fornecida pelo Grupo de Estudos Arqueométricos do IPEN CNEN/SP, na qual foram analisadas 146 amostras de fragmentos cerâmicos de três sítios arqueológicos por análise por ativação com nêutrons instrumental, sendo determinadas as frações

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Šafaříková, Kristýna. "Analýza podobnosti hodnot Indexu lidského rozvoje mezi evropskými státy." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201866.

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Main goal of this thesis is to analyze human development index for European countries and provide cluster analysis not only of human development index but even of another quality of life variables and to find similarities between particular countries by using hierarchical methods. The first part focuses on quality of life and definition of human development index. Human development index is one possibility how to measure quality of life, there are mentioned another possibilities, though how to analyze it. The second part of the thesis focuses on cluster analysis definition, which is used for s

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35

Pospíšil, David. "Shluková analýza signálu EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-219954.

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This diploma thesis deals with the use of some methods of cluster analysis on the ECG signal in order to sort QRS complexes according to their morphology to normal and abnormal. It is used agglomerative hierarchical clustering and non-hierarchical method K – Means for which an application in Mathworks MATLAB programming equipment was developed. The first part deals with the theory of the ECG signal and cluster analysis, and then the second is the design, implementation and evaluation of the results of the usage of developed software on the ECG signal for the automatic division of QRS complexes

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Danko, Kristin Julianna. "Methods for Optimizing Evidence Syntheses of Complex Interventions: Case Study of a Systematic Review and Meta-Analysis of Diabetes Quality Improvement Trials." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38225.

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Healthcare decision-makers need high quality evidence to inform policy and practice decisions. Systematic reviews of randomized controlled trials (RCTs), including meta- analyses of study effects, are considered one of the highest forms of evidence to inform such decisions. Most applications of systematic reviews and meta-analyses are based on a standardized cannon of methods that seek to collect, abstract, assess, and synthesize evidence from primary studies to produce a comprehensive and unbiased summary of the evidence. While useful, standard synthesis methods tend to assume simple data str

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CABRAL, Moacy Vasconcelos. "Análise de agrupamento para classificação de fontes usadas na braquiterapia intravascular." Universidade Federal Rural de Pernambuco, 2008. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5223.

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Submitted by (ana.araujo@ufrpe.br) on 2016-08-08T15:17:09Z No. of bitstreams: 1 Moacy Vasconcelos Cabral.pdf: 608103 bytes, checksum: 99d5c81824432310afaa742f16c76e41 (MD5)<br>Made available in DSpace on 2016-08-08T15:17:09Z (GMT). No. of bitstreams: 1 Moacy Vasconcelos Cabral.pdf: 608103 bytes, checksum: 99d5c81824432310afaa742f16c76e41 (MD5) Previous issue date: 2008-02-28<br>There are several factors that are responsible for the most deaths caused by cardiovascular diseases, which are growing in almost all countries of the world. Acute myocardial infarction (AMI) is the one that occurs

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周志賢 and Chi-yin Edward Chow. "Adaptive recovery with hierarchical checkpointing on workstation clusters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B29812914.

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Chow, Chi-yin Edward. "Adaptive recovery with hierarchical checkpointing on workstation clusters /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20792700.

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Příhodová, Petra. "Zpracování biosignálů - shluková analýza." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219240.

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This thesis deals with the problem with cluster analysis and biosignal classification options. The principle of cluster analysis, methods for calculating distances between objects and the standard process in the implementation of clustering are described in the first part. For biosignals processing,it is necessary to get familiar with the primary parameters of these signals in the following sections of thesis, process biosignals and methods for recording of action potentials described. Based on studying different clustering methods is presented a program with the applied method kmedoid in the

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Jokela, N. (Nina). "Saksan ääntäminen laulusarjassa Frauenliebe und Leben:tutkimuskohteena eksperttilaulajat." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526213125.

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Abstract This research explored professional singers’ pronunciation of German in Frauenliebe und Leben, a song cycle, composed in 1840 by Robert Schumann (1810–1856). Adopting a two-fold approach, the thesis examined pronunciation from the viewpoints of normative German pronunciation and vocal pedagogy, paying special attention to the relationship between the two sets of norms. Normative German pronunciation is based on ‘reine Hochlautung’ as defined by Theodor Siebs, as well as on his instructions to classical singers. Norms of pronunciation used in vocal pedagogy were derived from 11 German

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Mamani-Calcina, Elmer Antonio. "Microanálise de inclusões não-metálicas de artefatos ferrosos: investigação da assinatura química de procedência (Real Fábrica de Ferro São João de Ipanema, Sítio de Afonso Sardinha, Sítio de Missões e Mossend Iron Works) por análise hierárquica de conglomerados." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3133/tde-18012017-151954/.

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Técnicas de caracterização microestrutural, incluindo microanálise química EDS (energy dispersive spectrometry), foram usadas para investigar as inclusões não-metálicas de amostras ferrosas da Real Fábrica de Ferro São João de Ipanema (Sorocaba, século XIX), da Ponte D. Pedro II (Bahia, produzida na Escócia, Mossend Iron Works, século XIX) e dos sítios arqueológicos de São Miguel das Missões (Rio Grande do Sul, século XVII) e de Afonso Sardinha (Sorocaba, século XVI). Estes resultados foram analisados por métodos estatísticos com o objetivo de estabelecer a assinatura química de cada uma das q

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Anderson, Hannah Ruth. "A Psychometric Investigation of a Mathematics Placement Test at a Science, Technology, Engineering, and Mathematics (STEM) Gifted Residential High School." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1594656968297342.

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Saro, Alexandro. "Galactic population in cosmological hierarchical models." Doctoral thesis, Università degli studi di Trieste, 2009. http://hdl.handle.net/10077/3066.

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2007/2008<br>Il lavoro di ricerca è stato orientato allo studio delle proprietà delle strutture su grande scala dell'Universo. In particolar modo si sono studiate le proprietà ottiche e fisiche di popolazioni sintetiche di galassie in ammassi di galassie in ambito cosmologico all'interno dello scenario gerarchico. Abbiamo affrontato il problema della formazione galattica seguendo due approcci complementari. Una linea di ricerca svolta è stata indirizzata allo studio della popolazione galattica in ammassi di galassie, utilizzando simulazioni idrodinamiche cosmologiche. A tale scopo si sono a

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Wu, Kelvin Kwan Suen. "Non-gravitational heating in the hierarchical formation of groups and clusters." Thesis, University of Cambridge, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621558.

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Rydström, Sidney, and Jakob Lindén. "Analys av hörnsekvenser i svensk elitfotboll : Gruppering av hörnsekvenser och utvärdering av sannolikhet för skott med logistisk hierarkisk modellstruktur." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171169.

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Sportanalys definieras av Alamar (2013) som användning av historisk data för att applicera modeller som kan ge information till beslutstagare inom en viss organisation. Det ger dem möjlighet att assistera sin organisation för att få en sportslig fördel. I den här studien utförs sportanalys, mer specifikt analyseras hörnsekvenser inom svensk elitfotboll. En hörnsekvens är den sekvens av händelser som sker från att bollen sätts i spel från hörnans startposition tills det att något av följande villkor uppfylls: 8 händelser sker givet att hörnan slås kort 6 händelser sker givet att hörnan slås lån

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Reizer, Gabriella v. "Stability Selection of the Number of Clusters." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/98.

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Selecting the number of clusters is one of the greatest challenges in clustering analysis. In this thesis, we propose a variety of stability selection criteria based on cross validation for determining the number of clusters. Clustering stability measures the agreement of clusterings obtained by applying the same clustering algorithm on multiple independent and identically distributed samples. We propose to measure the clustering stability by the correlation between two clustering functions. These criteria are motivated by the concept of clustering instability proposed by Wang (2010), which is

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Köthur, Patrick. "Visual analytics for detection and assessment of process-related patterns in geoscientific spatiotemporal data." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17397.

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Diese Arbeit untersucht, inwiefern Visual Analytics die Analyse von Prozessen in geowissenschaftlichen raum-zeitlichen Daten unterstützen kann. Hierzu wurden drei neuartige Visual Analytics Ansätze entwickelt. Jeder Ansatz addressiert eine wichtige Analyseperspektive. Der erste Ansatz erlaubt es, wichtige räumliche Zustände in den Daten sowie deren auftreten in der Zeit zu untersuchen. Mittels hierarchischem Clustering werden alle in den Daten enthaltenen räumlichen Zustände in einer Clusterhierarchie verortet. Interaktive visuelle Analyse ermöglicht es, verschiedene räumliche Zustände aus den

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Sajjapongse, Kittisak. "Hierarchical scheduling and uniform access programming frameworks for heterogeneous CPU-GPU computing clusters." Thesis, University of Missouri - Columbia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10178997.

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<p> The advance of the GPU hardware architecture has made GPUs attractive devices for general-purpose computing. Modern GPUs are equipped with an increasing number of cores, a flexible memory hierarchy, and a large memory capacity. While the computational power of modern GPU devices has allowed their introduction in high-performance computing (HPC) clusters and the efficient processing of ever larger workloads, existing software components for HPC clusters still offer basic support for hardware heterogeneity and often cause performance limitations in the presence of GPU devices. In particular,

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Dhanraj, Vijay. "Enhancement of LIMIC-Based Collectives for Multi-core Clusters." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343760424.

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