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K-means clustering
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531	Machine Learning manuscript No. (will be inserted by the editor) Clustering: Science or Art?? Ulrike von Luxburg · Robert C. Williamson · Isabelle Guyon Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-02-21 00:49:16 Cluster analysis Data mining Geostatistics K-means clustering Hierarchical clustering Statistical classification Unsupervised learning Consensus clustering Document clustering Statistics Machine learning Data analysis
532	ISOMA079 Main Menu World Automation Congress Seventh International Symposium on Manufacturing Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Data mining Geostatistics Keystroke dynamics K-means clustering Password Biometrics Statistics Cluster analysis Data analysis
533	1 LATENT CLASS CLUSTER ANALYSIS Jeroen K. Vermunt Tilburg University Jay Magidson Add to Reading List Source URL: www.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
534	Clustering: Science or Art? Ulrike von Luxburg [removed] Max Planck Institute for Intelligent Systems, T¨ ubingen, Germany Robert C. Williamson Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-09 18:47:45 Data mining Geostatistics Hierarchical clustering K-means clustering Consensus clustering Unsupervised learning Clustering high-dimensional data Statistics Cluster analysis Machine learning
535	Ann Inst Stat Math[removed]:335–357 DOI[removed]s10463[removed]Strong consistency of factorial K-means clustering Yoshikazu Terada Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:54 K-means clustering Clustering high-dimensional data Statistics Cluster analysis Computational statistics
536	Journal of Machine Learning Research[removed] Submitted 5/09; Revised 8/10; Published 1/11 CARP: Software for Fishing Out Good Clustering Algorithms Volodymyr Melnykov Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-01-20 15:24:09 Data mining Geostatistics K-means clustering Single-linkage clustering Mixture model Statistics Machine learning Cluster analysis
537	QoS: Quality Driven Data Abstraction Generation For Large Databases ∗ Charudatta V. Wad, Elke A. Rundensteiner and Matthew O. Ward Department of Computer Science, Add to Reading List Source URL: davis.wpi.edu Language: English - Date: 2007-09-06 21:58:55 Data mining Geostatistics Histogram BIRCH K-means clustering Abstraction Sampling Consensus clustering Statistics Data analysis Cluster analysis
538	SPSS T WO S TEP C LUSTER – A F IRST E VALUATION∗ Johann Bacher†, Knut Wenzig‡, Melanie Vogler§ Universit¨at Erlangen-N¨urnberg SPSS 11.5 and later releases offer a two step clustering method. According to the Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:36:47 Cluster analysis K-means clustering Hierarchical clustering Level of measurement Latent class model Consensus clustering Statistics Multivariate statistics SPSS
539	Microsoft PowerPoint - kmeans11 Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2008-07-07 16:16:22 K-means clustering Hierarchical clustering Computer cluster K-medians clustering Cluster analysis Computing Statistics Computer programming
540	Building Video Databases to Boost Performance Quantification – The DXM2VTS Database Dereje Teferi? , Josef Bigun? ? School of Information Science, Computer, and Electrical Engineering (IDE) Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-19 04:44:00 Cluster analysis Thresholding Binary image Run-length encoding K-means clustering Image processing Statistics Segmentation

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