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K-means clustering
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#	Item
421	Context-Dependent Clustering based on Dissimilarity Increments Ana L. N. Fred Instituto de Telecomunicac¸o˜ es / Instituto Superior T´ecnico IST-Torre Norte, Av. Rovisco Pais, , Lisboa, Portugal Abstract – Add to Reading List Source URL: www.lx.it.pt Language: English - Date: 2010-07-24 14:01:21 Data mining Geostatistics Hierarchical clustering Single-linkage clustering K-means clustering Consensus clustering Complete-linkage clustering Statistics Cluster analysis Data analysis
422	5.6 Additional File 6: Initial Implemented OpenTox Algorithms Algorithm web services are key components of the overall OpenTox Framework and also important parts of Use Case-related implementations, as they are responsib Add to Reading List Source URL: jcheminf.com Language: English Computational statistics Data analysis Cheminformatics Multivariate statistics Formal sciences JOELib K-means clustering Feature selection Cluster analysis Statistics Machine learning Science
423	Microsoft Word - ACIIDS_2010.doc Add to Reading List Source URL: www.itu.dk Language: English - Date: 2009-12-23 11:06:24 Mathematical logic Theoretical computer science Subsequence K-means clustering Pi Gaussian function Mathematics Mathematical analysis Algorithm
424	A Course in Machine Learning Hal Daumé III 13 \| U NSUPERVISED L EARNING Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:33 Data analysis Singular value decomposition Dimension reduction Principal component analysis K-means clustering Spectral clustering Nonlinear dimensionality reduction Cluster analysis Supervised learning Statistics Multivariate statistics Machine learning
425	1 LATENT CLASS CLUSTER ANALYSIS Jeroen K. Vermunt Tilburg University Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:56 Multivariate statistics Statistical models Psychometrics K-means clustering Latent class model Mixture model Expectation–maximization algorithm Multivariate normal distribution Probability distribution Statistics Cluster analysis Machine learning
426	Latent class models for clustering: A comparison with K-means Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Tilburg University Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:43 K-means clustering Unsupervised learning Mixture model Logistic regression Consensus clustering Statistics Machine learning Cluster analysis
427	A Course in Machine Learning Hal Daumé III 2 \| G EOMETRY Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:36 K-nearest neighbor algorithm Supervised learning Cluster analysis K-means clustering Statistical classification Curse of dimensionality IDistance Nearest neighbor search Statistics Machine learning Computational statistics
428	Progress towards an MHD documentation database Dave Pretty 9th CWGM, ANU, 28 Jan 2012 MHD Documentation database Add to Reading List Source URL: ishcdb.nifs.ac.jp Language: English - Date: 2012-02-11 01:05:36 Machine learning Cluster analysis Geostatistics Data stream clustering K-means clustering Statistics Data mining Data analysis
429	Clustering Australian Regional Areas: An Optimisation Approach Add to Reading List Source URL: www.anzrsai.org Language: English - Date: 2014-04-15 21:41:43 Multivariate statistics Data analysis Data mining K-means clustering Fuzzy clustering Statistics Cluster analysis Geostatistics
430	Structuring typical evolutions using Temporal-Driven Constrained Clustering Marian-Andrei Rizoiu Julien Velcin St´ephane Lallich ERIC laboratory Add to Reading List Source URL: www.rizoiu.eu Language: English - Date: 2013-10-04 10:30:16 Data mining Geostatistics K-means clustering Segmentation Constrained clustering Genetic algorithm Nearest-neighbor chain algorithm Consensus clustering Statistics Cluster analysis Data analysis

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