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K-means
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#	Item
181	Web-Scale K-Means Clustering D. Sculley Google, Inc. Pittsburgh. PA USA Add to Reading List Source URL: www.eecs.tufts.edu Language: English - Date: 2011-04-13 13:29:32
182	Clusterpath: An Algorithm for Clustering using Convex Fusion Penalties Toby Dylan Hocking T OBY.H OCKING @ INRIA . FR Armand Joulin A RMAND .J OULIN @ INRIA . FR Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:35 Data analysis Data mining Geostatistics Hierarchical clustering K-means clustering Spectral clustering Segmentation Unsupervised learning Consensus clustering Statistics Machine learning Cluster analysis
183	On Clustering Visitors of a Web Site by Behavior and Interests Natascha Hoebel1 and Roberto V. Zicari2 1 2 Add to Reading List Source URL: www.dbis.cs.uni-frankfurt.de Language: English - Date: 2009-10-16 07:22:04 Data mining Geostatistics Machine learning K-means clustering Hierarchical clustering Computer cluster Statistics Cluster analysis Data analysis
184	Multi-view Exploratory Learning for AKBC Problems William W. Cohen School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.akbc.ws Language: English - Date: 2015-04-02 16:06:46 Statistics Semi-supervised learning Document classification Expectation–maximization algorithm Supervised learning K-means clustering Word-sense disambiguation Concept learning Statistical classification Machine learning Computational statistics Artificial intelligence
185	PAPER IDENTIFICATION NUMBERAn Effective Dissimilarity Measure for Clustering Gene Expression Time Series Data Add to Reading List Source URL: www.biotconf.org Language: English - Date: 2014-05-21 17:42:43 Microarrays Data mining Geostatistics Ridge Hierarchical clustering K-means clustering Gene expression profiling Feature selection UPGMA Statistics Cluster analysis Gene expression
186	Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-10-18 14:00:50 Statistical theory Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Fisher information Variational Bayesian methods Marginal likelihood Mixture model Statistics Estimation theory Bayesian statistics
187	Clustering of variables around latent components Ricco RAKOTOMALALA Ricco Rakotomalala Tutoriels Tanagra - http://tutoriels-data-mining.blogspot.fr/ Add to Reading List Source URL: eric.univ-lyon2.fr Language: English - Date: 2014-09-24 11:10:21 Data analysis Market research Marketing Principal component analysis Factor analysis Latent variable Correlation and dependence K-means clustering Statistics Multivariate statistics Psychometrics
188	Discovering Overlapping Groups in Social Media Xufei Wang Arizona State University Tempe, AZ 85287, USA Email: Add to Reading List Source URL: leitang.net Language: English - Date: 2010-10-06 02:23:36 Algebraic graph theory Network theory Data mining Cluster analysis Community structure Clustering coefficient Fuzzy clustering Spectral clustering K-means clustering Statistics Graph theory Mathematics
189	Microsoft Word - A Computational model for Trust-based Collaborative Filtering.docx Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2013-08-14 08:39:29 Collaboration Social information processing Science Recommender system Collaborative filtering Cold start Trust metric K-nearest neighbor algorithm K-means clustering Information science Collective intelligence Information retrieval
190	Evaluating Subspace Clustering Algorithms Lance Parsons Ehtesham Haque Add to Reading List Source URL: www.public.asu.edu Language: English - Date: 2004-04-19 16:42:54 K-means clustering Medoid Principal component analysis Consensus clustering Statistics Cluster analysis Clustering high-dimensional data

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