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K-means
Results: 1132

#	Item
531	LNBI[removed]Biclustering of Expression Microarray Data Using Affinity Propagation Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 K-means clustering Segmentation Consensus clustering Clustering high-dimensional data Statistics Cluster analysis Biclustering
532	Comparison of Spectral Clustering Methods Deepak Verma Department of CSE University of Washington Seattle, WA[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-20 23:00:34 K-means clustering Cluster analysis Single-linkage clustering Consensus clustering Statistics Multivariate statistics Spectral clustering
533	LNAI[removed]Uncertain Data Mining: An Example in Clustering Location Data Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2006-10-18 01:36:35 Cluster analysis Data mining Geostatistics Fuzzy clustering K-means clustering Single-linkage clustering Principal component analysis Consensus clustering Determining the number of clusters in a data set Statistics Multivariate statistics Data analysis
534	Poznan ´ University of Technology Institute of Computing Science Descriptive Clustering as a Method for Exploring Text Collections Add to Reading List Source URL: www.cs.put.poznan.pl Language: English - Date: 2009-07-20 04:54:30 Information retrieval Data mining Natural language processing Data analysis Machine learning Document clustering Cluster analysis Carrot2 K-means clustering Information science Statistics Science
535	Carrot2 and Language Properties in Web Search Results Clustering Jerzy Stefanowski and Dawid Weiss Institute of Computing Science, Pozna´ n University of Technology, ul. Piotrowo 3A, 60–965 Pozna´ Add to Reading List Source URL: project.carrot2.org Language: English - Date: 2015-01-09 08:48:15 Data mining Geostatistics Carrot2 Document clustering Hierarchical clustering K-means clustering Stemming Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Data analysis
536	Discovering Video Clusters from Visual Features and Noisy Tags Arash Vahdat, Guang-Tong Zhou, and Greg Mori School of Computing Science, Simon Fraser University, Canada {avahdat,gza11,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2014-06-23 15:27:44 Data mining Geostatistics Machine learning K-means clustering Hierarchical clustering Spectral clustering Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Data analysis
537	LNCS[removed]Group-Induced Vector Spaces Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:56:50 Learning Pattern recognition Unsupervised learning Supervised learning Generative model Hidden Markov model K-means clustering Mixture model Statistical classification Machine learning Statistics Computational statistics
538	Fuzzy clustering for seafloor classification Add to Reading List Source URL: www.lucieer.net Language: English - Date: 2014-11-24 00:15:20 Geostatistics Fuzzy clustering Cluster analysis K-means clustering Unsupervised learning Statistics Machine learning Multivariate statistics
539	In section[removed], we say that expression[removed]for the within cluster sum of squares W (C) = K 1X X Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2009-07-20 17:34:35 Cluster analysis K-medians clustering Fuzzy clustering Statistics Computational statistics K-means clustering
540	A Hidden Markov Model-Based Approach to Sequential Data Clustering Antonello Panuccio, Manuele Bicego, and Vittorio Murino Dipartimento di Informatica, University of Verona Ca’ Vignal 2, Strada Le Grazie 15, 37134 Vero Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:44:51 Markov models Cluster analysis Data mining Hidden Markov model Hierarchical clustering Pattern recognition K-means clustering Sequence clustering Markov chain Statistics Machine learning Bioinformatics

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