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Thèses sur le sujet « Model-based Cluster »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 19 juillet 2025

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1

Rapley, Veronica Elizabeth. "Model-based adaptive cluster sampling." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433939.

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Lin, Dong. "Model-based cluster analysis using Bayesian techniques." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Tantrum, Jeremy. "Model based and hybrid clustering of large datasets /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/8933.

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BARBERIS, STEFANO. "New developments in Cluster-Weighted Modeling." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241157.

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In questo lavoro vengono presentate due estensioni del modello Cluster Weighted (un modello mistura di regressioni che considera non solo la distribuzione condizionata ma anche la distribuzione marginale delle covariate). La prima estensione proposta presenta il modello GAM-CWM. Si tratta di un modello molto flessibile, in grado di descrivere relazioni complesse tra una variabile risposta e un insieme di covariate in ogni componente della mistura. In questo modello proposto la classe dei Generalized Additive Models è stata inserita all’interno del framework CWM. La seconda estensione, è

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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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Mohamed, Esha [Verfasser], and Ralf [Akademischer Betreuer] Münnich. "Design-based and model-based estimation in adaptive cluster sampling / Esha Mohamed ; Betreuer: Ralf Münnich." Trier : Universität Trier, 2017. http://d-nb.info/1197807535/34.

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Malsiner-Walli, Gertraud, Sylvia Frühwirth-Schnatter, and Bettina Grün. "Model-based clustering based on sparse finite Gaussian mixtures." Springer, 2016. http://dx.doi.org/10.1007/s11222-014-9500-2.

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In the framework of Bayesian model-based clustering based on a finite mixture of Gaussian distributions, we present a joint approach to estimate the number of mixture components and identify cluster-relevant variables simultaneously as well as to obtain an identified model. Our approach consists in specifying sparse hierarchical priors on the mixture weights and component means. In a deliberately overfitting mixture model the sparse prior on the weights empties superfluous components during MCMC. A straightforward estimator for the true number of components is given by the most frequent number

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Shaffer, Anne, Monica Whitehead, Molly Davis, Diana Morelen, and Cynthia Suveg. "A Model‐Based Cluster Analysis of Maternal Emotion Regulation and Relations to Parenting Behavior." Digital Commons @ East Tennessee State University, 2018. https://doi.org/10.1111/famp.12326.

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In a diverse community sample of mothers (N = 108) and their preschool‐aged children (Mage = 3.50 years), this study conducted person‐oriented analyses of maternal emotion regulation (ER) based on a multimethod assessment incorporating physiological, observational, and self‐report indicators. A model‐based cluster analysis was applied to five indicators of maternal ER: maternal self‐report, observed negative affect in a parent–child interaction, baseline respiratory sinus arrhythmia (RSA), and RSA suppression across two laboratory tasks. Model‐based cluster analyses revealed four maternal ER p

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Whitehead, Monica R., Anne Shaffer, Molly Faye Davis, Diana M. Morelen, and Cynthia Suveg. "A Model-Based Cluster Analysis of Maternal Emotion Regulation and Relations to Parenting Behavior." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/745.

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Liu, Jinghui. "Approaches to improve the precision of similarity patterns and reproducibility for cluster analysis infinite mixture model based cluster analyses for gene expression data /." Cincinnati, Ohio : University of Cincinnati, 2008. http://rave.ohiolink.edu/etdc/view.cgi?acc_num=ucin1211903300.

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Li, Qian. "Approaches to Find the Functionally Related Experiments Based on Enrichment Scores: Infinite Mixture Model Based Cluster Analysis for Gene Expression Data." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113351.

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Al-Khalissi, Hayder Hekmat Sulman [Verfasser], and Mladen [Akademischer Betreuer] Berekovic. "Efficient Programming Model for OpenMP on Cluster-Based Many-Core System / Hayder Hekmat Sulman Al-Khalissi ; Betreuer: Mladen Berekovic." Braunschweig : Technische Universität Braunschweig, 2015. http://d-nb.info/1175819271/34.

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LeBlanc, Lawrence Joseph. "CFD evaluation of cluster specific image based asthma lung features on particle transport and hygroscopic particle growth model validation." Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/5546.

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Aerosolized drug delivery to the human lungs for asthma treatment has long been studied and yet the relationship between the delivery efficacy and the inter-subject variability due to gender, age, and disease severity remains unclear. A recent imaging-based cluster analysis on a population of asthmatic patients identifies four clusters with distinct structural and functional characteristics. The use of cluster membership to explore inter-subject variability by investigating numerically the air flow and particle transport in representative subjects of the asthmatic clusters on inhalation drug d

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Ngu, Hong Ming. "Agent-based modelling of worker interactions and related impacts on workplace dynamics." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/90738/1/Hong%20Ming_Ngu_Thesis.pdf.

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This study uses agent based modelling to simulate the worker interactions within a workplace and to investigate how the interactions can have impact on the workplace dynamics. Two new models (Bounded Confidence with Bias model and Relative Agreement with Bias model) are built based on the theoretical foundation of two existing models. A new factor, namely bias, is added into the new models which raises several issues to be studied.

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Kurin, Erik, and Adam Melin. "Data-driven test automation : augmenting GUI testing in a web application." Thesis, Linköpings universitet, Programvara och system, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96380.

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For many companies today, it is highly valuable to collect and analyse data in order to support decision making and functions of various sorts. However, this kind of data-driven approach is seldomly applied to software testing and there is often a lack of verification that the testing performed is relevant to how the system under test is used. Therefore, the aim of this thesis is to investigate the possibility of introducing a data-driven approach to test automation by extracting user behaviour data and curating it to form input for testing. A prestudy was initially conducted in order to colle

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Polat, Esra. "Spatio-temporal Crime Prediction Model Based On Analysis Of Crime Clusters." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608881/index.pdf.

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Crime is a behavior disorder that is an integrated result of social, economical and environmental factors. In the world today crime analysis is gaining significance and one of the most popular subject is crime prediction. Stakeholders of crime intend to forecast the place, time, number of crimes and crime types to get precautions. With respect to these intentions, in this thesis a spatio-temporal crime prediction model is generated by using time series forecasting with simple spatial disaggregation approach in Geographical Information Systems (GIS). The model is generated by utilizing crime d

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Frisk, Christoffer. "Automated protein-family classification based on hidden Markov models." Thesis, Uppsala universitet, Bioinformatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-252372.

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The aim of the project presented in this paper was to investigate the possibility toautomatically sub-classify the superfamily of Short-chain Dehydrogenase/Reductases (SDR).This was done based on an algorithm previously designed to sub-classify the superfamily ofMedium-chain Dehydrogenase/Reductases (MDR). While the SDR-family is interesting andimportant to sub-classify there was also a focus on making the process as automatic aspossible so that future families also can be classified using the same methods.To validate the results generated it was compared to previous sub-classifications done o

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Kannamareddy, Aruna Sai. "Density and partition based clustering on massive threshold bounded data sets." Kansas State University, 2017. http://hdl.handle.net/2097/35467.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>The project explores the possibility of increasing efficiency in the clusters formed out of massive data sets which are formed using threshold blocking algorithm. Clusters thus formed are denser and qualitative. Clusters that are formed out of individual clustering algorithms alone, do not necessarily eliminate outliers and the clusters generated can be complex, or improperly distributed over the data set. The threshold blocking algorithm, a current research paper from Michael Higgins of Statistics Depar

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Toolo, Mpho. "Agriculture based clusters : a model to stimulate South Africa s rural small-scale farming sector." Diss., University of Pretoria, 2015. http://hdl.handle.net/2263/52334.

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Unemployment in South Africa is a major problem and the marginal economic growth has not stimulated job creation. The problem is skewed to the rural communities. As the most labour absorptive sector, agriculture is best placed to help address this challenge. However, to become a viable globally competitive sector rural small-scale farmers need Government policy certainty and support; cluster creation is a means for small-scale farmers to be provided the required support. An exploratory study was conducted on Western Cape Wine cluster members and relevant Government employees. This study sough

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Liu, Yulin. "Urban transit quality of service : user perception and behaviour." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/61517/1/Yulin_Liu_Thesis.pdf.

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Despite its potential multiple contributions to sustainable policy objectives, urban transit is generally not widely used by the public in terms of its market share compared to that of automobiles, particularly in affluent societies with low-density urban forms like Australia. Transit service providers need to attract more people to transit by improving transit quality of service. The key to cost-effective transit service improvements lies in accurate evaluation of policy proposals by taking into account their impacts on transit users. If transit providers knew what is more or less important t

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Kohn, Maximilian-Benedikt Herwarth Detlef. "Speculative bubbles and contagion: analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/14193.

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Submitted by Maximilian-Benedikt Koehn (mb@koehn.cc) on 2015-10-27T13:40:42Z No. of bitstreams: 1 MasterThesis_FGV_MBK-2.pdf: 1998443 bytes, checksum: f5b2dd679c9a165738dd916b469de18e (MD5)<br>Rejected by Ana Luiza Holme (ana.holme@fgv.br), reason: Maximilian, In second page, the date is incorrect, it should be 2015. Also the pages numeration in the thesis is incorrect, it should started at the first page of the thesis but the number only appear in the introdution. and it should be at the bottom of the pages. Ex: Introdution is page 10 so in the bottom of the page you see the numbe

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De, Paris Renata. "An effective method to optimize docking-based virtual screening in a clustered fully-flexible receptor model deployed on cloud platforms." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2016. http://tede2.pucrs.br/tede2/handle/tede/7329.

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Submitted by Caroline Xavier (caroline.xavier@pucrs.br) on 2017-06-05T14:58:52Z No. of bitstreams: 1 TES_RENATA_DE_PARIS_COMPLETO.pdf: 8873897 bytes, checksum: 43b2a883518fc9ce39978e816042ab5f (MD5)<br>Made available in DSpace on 2017-06-05T14:58:53Z (GMT). No. of bitstreams: 1 TES_RENATA_DE_PARIS_COMPLETO.pdf: 8873897 bytes, checksum: 43b2a883518fc9ce39978e816042ab5f (MD5) Previous issue date: 2016-10-28<br>Conselho Nacional de Pesquisa e Desenvolvimento Cient?fico e Tecnol?gico - CNPq<br>O uso de conforma??es obtidas por trajet?rias da din?mica molecular nos experimentos de docagem molecul

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Jahanshahi, Kaveh. "Quantification of the influences of built-form upon travel of employed adults : new models based on the UK National Travel Survey." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267841.

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After decades of research, a host of analytical difficulties is still hindering our understanding of the influences of the built form on travel. The main challenges are (a) assembling good quality data that reflects the majority of the known influences and that supports continuous monitoring, and (b) making sense methodologically of the many variables which strongly intercorrelate. This study uses the UK national travel survey (NTS) data that is among the most comprehensive of its form in the world. The fact that it has rarely been used so far for this purpose may be attributable to the method

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PILLAI, Vinoshene. "Intravital two photon clcium imaging of glioblastoma mouse models." Doctoral thesis, Scuola Normale Superiore, 2021. http://hdl.handle.net/11384/109211.

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Zhong, Shi. "Probabilistic model-based clustering of complex data." Thesis, 2003. http://wwwlib.umi.com/cr/utexas/fullcit?p3116470.

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"Model-based clustering with network covariates by combining a modified product partition model with hidden Markov random field." Thesis, 2012. http://library.cuhk.edu.hk/record=b5549146.

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乘積型劃分模型最近被擴展為容許個體有協變量的隨機聚類模型，然而協變量受限與對個體性質的描述。隨著科技發展，於越來越多生物醫學或社會研究的聚類問題中，我們需要考慮聚類對象間兩兩關連的額外資料，如基因間的調節關係或人際關係中的社交網絡。為此我們提出一個基於模型的方法，綜合乘積型劃分模型的一種改型與隱馬可夫隨機場對有網絡和協變量信息的對象做聚類。統計推論以貝葉斯方法進行。模型計算以馬可夫鏈蒙地卡羅運算法則進行。為了使馬可夫鏈能更好地混和，使用循序分配合併分裂取樣器進行群體移動以減少困於區域性頂點的機會。<br>為了測試本文提出的新方法的聚類性能，我們在兩個合成數據集上進行了模擬實驗。該實驗涵括多種類型的應變量，協變量網絡結構。結果顯示該方法在大部分實驗條件下都具有高正確聚類率。我們還將此返法應用於兩個真實數據集。第一個真實數據集利用學術期刊間相互引用的信息幫助對學術期刊的分門別類。第二個真實數據集合併酵母中基因的表達、轉錄因子結合位點和基因間的調控網絡信息，已對基因做詳細的功能分類。這兩個基於真實數據的實驗都給出諸多有意義的結果。<br>The product partition model was recently extended for the covariate-dependent random partition of subjects, where the covariate

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Huang, Hong-Chen, and 黃閎琛. "Model and Analysis of Clustered Machine-to-Machine Wireless Networks Based on the Poisson Cluster Process." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/74632781922750608843.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>105<br>In wireless sensor networks, the homogeneous Poisson Point Process (PPP) assumption holds when the sensor nodes are uniformly distributed in space. However, due to geographic factors, it may be common for sensor nodes to cluster around some region where the physical or environmental conditions often occur. Therefore, the PPP assumption does not provide an accurate model for the interference in these conditions. This motivates the need to characterize the SINR of wireless sensor networks when the nodes are clustered. Due to the cluster property, we use Poisson

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CHIH, CHIU YEN, and 邱彥智. "Statistics-Based Evaluation of Soil Liquefaction Using Cluster Analysisand Logit Model." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/88619154630855198260.

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碩士<br>長榮大學<br>土地管理與開發學系碩士班<br>91<br>Taiwan is located at the boundary between the Philippine and the Eurasian Plates. Seismicity is extremely active on this island. Among the earthquake disasters, soil liquefaction has attracted a lot of attention lately. Due to the liquefaction of soils, there were many ground failures with the occurrence of earthquake. Lots of damages such as ground settlement, lateral spreading, building damage, and twisted lifelines were observed during the Chi-Chi earthquake of Taiwan in 1999. Therefore, in addition to appropriate planning and control, more accurate evalu

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Luo, Lung-Jin, and 羅隆晉. "Cluster-Based Multiple-Classifiers Model for Classification Prediction in Imbalanced Data." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/78462502199614709900.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>98<br>In real data, the data distribution is imbalanced when the quantity of some classes is usually much less than other classes and it is called ‘Imbalance data’. The data in minority classes are quite important in research. In the classification technique of data mining, the training data quality is a critical factor which can influence the accuracy of the technique. However, traditional data mining classification technique is not effective on imbalance data. Hence, it is a quite significant goal to improve the performance of result on mining imbalance data. This

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Araviashvili, Tamari. "Wine Tourism Cluster Model Based on Kettmeir and Santa Margherita Wine Group." Master's thesis, 2019. https://hdl.handle.net/10216/126695.

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Chandra, Mohan Lakshmi Kanth. "Cluster based wireless sensor network security model using game theory and risk assessment." 2007. http://digital.library.okstate.edu/etd/umi-okstate-2589.pdf.

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Chandra, Mohan Lakshmi Kanth. "Cluster based wireless sensor network security model using game theory and risk assessment." 2008. http://digital.library.okstate.edu/etd/umi-okstate-2615.pdf.

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Hu, Wei-Che, and 胡維哲. "A dynamic data driven prediction model based on evolutionary algorithms and cluster computing." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/ce7726.

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碩士<br>中原大學<br>資訊管理研究所<br>104<br>In recent years, big data has become an important research topic. Such as the main reason for the following characteristics: high velocity in real-time data, distributed of complex data sources, integration of heterogeneous data and growth of data volumes. Therefore, in this complex information environment. It is a new challenge to achieve an efficient and accurate prediction. The concept of dynamic data-driven applications system (DDDAS) is a solution, to provide simulation and prediction capabilities, and expansion of the relevant application model. In the DDD

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Chen, Ting-Ting, and 陳婷婷. "A Study on Corporate Users’Acceptance of Digital Cluster Based on Technology Acceptance Model." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/21345511787126828901.

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碩士<br>國立中興大學<br>生物產業暨城鄉資源管理學系所<br>98<br>Digital cluster is a new business model for the cooperation building among enterprises, which combines the strategy of industrial cluster and application of information technology to fulfill the mission of cluster by the network platform of electronic commerce. The goal of digital cluster aims to introduce local features to the world and enhance the competitiveness by the cooperation among enterprises. In spite of the aims digital cluster desires to reach, the key to success in terms of whether digital cluster can strive for a long run lies on what enter

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Yang, Yu Chuang, and 莊楊裕. "Computer server sales forecasting using cluster-based forecasting model with different linkage strategies." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/41152233888692300027.

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碩士<br>健行科技大學<br>工業管理系碩士班<br>103<br>Sales forecasting is crucial for every company since it is an important task for manufacturing, inventory management and marketing. In this study, a computer server sales forecasting model using clustering method with support vector regression (SVR) and extreme learning machine (ELM) with different linkage strategies is proposed. The proposed scheme first uses k-means algorithm to partition the whole training sales data into several disjoint clusters. Then, for each group, the SVR and ELM is applied to construct forecasting model. Finally, for a given testing

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"Scalable model-based clustering algorithms for large databases and their applications." 2002. http://library.cuhk.edu.hk/record=b6073478.

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by Huidong Jin.<br>"August 2002."<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2002.<br>Includes bibliographical references (p. 193-204).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Mode of access: World Wide Web.<br>Abstracts in English and Chinese.

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Sithole, Sibusiso Clement. "Cluster-based economic development strategies : a model for the tourism industry in Kwazulu-Natal." 2008. http://hdl.handle.net/10500/3162.

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The purpose of this study was to explore how a potential model of a tourism industry cluster could be developed in KwaZulu-Natal (KZN). To undertake this task an extensive literature review of cluster-based economic strategies was done. This was followed by a synopsis of the tourism industry from a global and South African perspective in order to determine issues of competitiveness and their impact on provincial dynamics. The study employed a qualitative research design and focused on the tourism industry in KwaZulu-Natal as a case study. Major stakeholders in the industry were interviewed.

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Erar, Bahar. "Mixture model cluster analysis under different covariance structures using information complexity." 2011. http://trace.tennessee.edu/utk_gradthes/968.

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In this thesis, a mixture-model cluster analysis technique under different covariance structures of the component densities is developed and presented, to capture the compactness, orientation, shape, and the volume of component clusters in one expert system to handle Gaussian high dimensional heterogeneous data sets to achieve flexibility in currently practiced cluster analysis techniques. Two approaches to parameter estimation are considered and compared; one using the Expectation-Maximization (EM) algorithm and another following a Bayesian framework using the Gibbs sampler. We develop and sc

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Yu-MingHsu and 許佑銘. "Utilization of Cluster Analysis on the Sampling Selection of the Model-based Sampling Survey." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/4r7c49.

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碩士<br>國立成功大學<br>統計學系<br>104<br>For the prediction problem in survey sampling under a finite population, n sampling units are selected out of N population units and observed to predict the population quantity of interest. The optimal sampling strategies proposed by different authors in the past can be used to select the optimal sample with which the mean-square error can be minimized. However, the computational load can be very extensive, and the optimization algorithm is not easy to implement. Additionally, the exact population distribution has to be assumed. Two model-based sampling selection

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Andrews, Jeffrey Lambert. "Model-based Learning: t-Families, Variable Selection, and Parameter Estimation." Thesis, 2012. http://hdl.handle.net/10214/3879.

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The phrase model-based learning describes the use of mixture models in machine learning problems. This thesis focuses on a number of issues surrounding the use of mixture models in statistical learning tasks: including clustering, classification, discriminant analysis, variable selection, and parameter estimation. After motivating the importance of statistical learning via mixture models, five papers are presented. For ease of consumption, the papers are organized into three parts: mixtures of multivariate t-families, variable selection, and parameter estimation.<br>Natural Sciences and Engine

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PAN, PO-CHUN, and 潘柏君. "The Development Model of Local Culture Based Creative Cluster──Taking the Xiluo Traditional Street as Example." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/92h4f4.

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碩士<br>國立雲林科技大學<br>創意生活設計系<br>107<br>As the countries worldwide commute frequently, many cultures of the local downtown has tended to be consistent where many local cultures are affected by each other. In the case of the globalization emerging increasingly, countries and cities start to be aware of the importance of the local cultures and features, and developing the local cultures has become the important local new issue. This study takes cultural and creative industries which are located at Yanping old street, Xiluo downtown, Yunlin county as subject. The purpose is : 1) Analyzing the local c

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Murray, Paula. "Mixtures of Skew-t Factor Analyzers." Thesis, 2012. http://hdl.handle.net/10214/5274.

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Model-based clustering allows for the identification of subgroups in a data set through the use of finite mixture models. When applied to high-dimensional microarray data, we can discover groups of genes characterized by their gene expression profiles. In this thesis, a mixture of skew-t factor analyzers is introduced for the clustering of high-dimensional data. Notably, we make use of a version of the skew-t distribution which has not previously appeared in mixture-modelling literature. Allowing a constraint on the factor loading matrix leads to two mixtures of skew-t factor analyzers mode

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Sung, Shao-Chung, and 宋少中. "Multicast with Intra-Cluster Device-to-Device (D2D) Data Sharing Algorithm by Relay Supported Scheme Based on Small World Model." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/r8j2ue.

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碩士<br>國立交通大學<br>電信工程研究所<br>103<br>Device-to-Device (D2D) communications help improve the performance of wireless multicast service in local area. In this thesis, we propose an improved intra-cluster D2D multicast algorithm to make data sharing realized among D2D users. In our algorithm, the data transmitting order is according to the data demand. In each data transmission process, we will choose a proper transmitter to multicast data in a cluster. Moreover, the relay scheme of data transmission is used in our algorithm, so as to get over transmission rate restriction that made by link quality.

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Levchenko, Oleksandr, О. М. Левченко, Ilona Tsarenko, and І. О. Царенко. "The Role of Universities in Cluster development of Countries’ Economy." Thesis, 2017. http://dspace.kntu.kr.ua/jspui/handle/123456789/7169.

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The paper deals with the issue of cluster development. We analyze and asses the linear relation between cluster development and independent variables such as university ranking, according to the Global Talent Competitiveness Index. The aim of this paper is to highlight the relationship between university ranking as an indicator of the evaluation of level of higher education of country and cluster development. For the purposes of this paper, the analysis of these indicators of 75 countries of the world. With regard to the aim, we have set the following hypothesis: we assume that there is a stat

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Dang, Sanjeena. "Variational Approximations and Other Topics in Mixture Models." Thesis, 2012. http://hdl.handle.net/10214/3876.

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Mixture model-based clustering has become an increasingly popular data analysis technique since its introduction almost fifty years ago. Families of mixture models are said to arise when the component parameters, usually the component covariance matrices, are decomposed and a number of constraints are imposed. Within the family setting, it is necessary to choose the member of the family --- i.e., the appropriate covariance structure --- in addition to the number of mixture components. To date, the Bayesian information criterion (BIC) has proved most effective for this model selection process,

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Plappert, H., C. Hobson-Merrett, B. Gibbons, et al. "Evaluation of a primary care-based collaborative care model (PARTNERS2) for people with diagnoses of schizophrenia, bipolar, or other psychoses: study protocol for a cluster randomised controlled trial." 2003. http://hdl.handle.net/10454/18577.

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Yes<br>Current NHS policy encourages an integrated approach to provision of mental and physical care for individuals with long term mental health problems. The 'PARTNERS2' complex intervention is designed to support individuals with psychosis in a primary care setting. The trial will evaluate the clinical and cost-effectiveness of the PARTNERS2 intervention. This is a cluster randomised controlled superiority trial comparing collaborative care (PARTNERS2) with usual care, with an internal pilot to assess feasibility. The setting will be primary care within four trial recruitment areas: Birmi

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Plappert, H., C. Hobson-Merrett, B. Gibbons, et al. "Evaluation of a primary care-based collaborative care model (PARTNERS2) for people with diagnoses of schizophrenia, bipolar, or other psychoses: study protocol for a cluster randomised controlled trial." 2021. http://hdl.handle.net/10454/18577.

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Yes<br>Current NHS policy encourages an integrated approach to provision of mental and physical care for individuals with long term mental health problems. The 'PARTNERS2' complex intervention is designed to support individuals with psychosis in a primary care setting. The trial will evaluate the clinical and cost-effectiveness of the PARTNERS2 intervention. This is a cluster randomised controlled superiority trial comparing collaborative care (PARTNERS2) with usual care, with an internal pilot to assess feasibility. The setting will be primary care within four trial recruitment areas: Birmi

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Ludorf, Sebastian. "Besonderheiten von Produkten aus nachwachsenden Rohstoffen und deren Auswirkungen auf die Wahl effizienter Koordinationsformen in B2B-Geschäftsbeziehungen." Doctoral thesis, 2015. http://hdl.handle.net/11858/00-1735-0000-0028-86A8-2.

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Šedová, Michaela. "Odhad parametru při dvoufázovém stratifikovaném a skupinovém výběru." Doctoral thesis, 2011. http://www.nusl.cz/ntk/nusl-299533.

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Title: Parameter Estimation under Two-phase Stratified and Cluster Sampling Author: Mgr. Michaela Šedová Department: Department of Probability and Mathematical Statistics Supervisor: Doc. Mgr. Michal Kulich, Ph.D. Abstract: In this thesis we present methods of parameter estimation under two-phase stratified and cluster sampling. In contrast to classical sampling theory, we do not deal with finite population parameters, but focus on model parameter inference, where the ob- servations in a population are considered to be realisations of a random variable. However, we consider the sampling scheme

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Ramroop, Renuka Suekiah. "A qualitative study of the impact of organisational development interventions on the implementation of Outcomes Based Education." Diss., 2004. http://hdl.handle.net/10500/1791.

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Outcomes Based Education (OBE), has been, since its inception, fraught with problems. OBE in its very nature is complex. To fully embrace this method and ensure its success, schools must be able to make the necessary paradigm shift. This can only be achieved when schools receive relevant and empowering training, support and development. In other words, organisational development must be the key words. The aim of this study is to explore the impact of organisational development interventions on the implementation of OBE. The case study method was employed where it was realised that schools that

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