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K-means clustering
Results: 985

#	Item
641	Intelligent Information Systems 2008 ISBN[removed]4, pages 377–386 Ant Clustering Algorithm Urszula Boryczka Institute of Computer Science, University of Silesia, Sosnowiec, Poland Add to Reading List Source URL: iis.ipipan.waw.pl Language: English - Date: 2008-06-11 10:09:26 Hierarchical clustering DBSCAN K-medoids Segmentation Dunn index Medoid Consensus clustering Fuzzy clustering Statistics Cluster analysis K-means clustering
642	Microsoft Word - ijfs11-4-r-12-Manuscript_Hu_China_v3_2_.doc Add to Reading List Source URL: www.lsgi.polyu.edu.hk Language: English - Date: 2012-10-08 11:36:56 Multivariate statistics Geostatistics Fuzzy clustering Traffic flow Dynamic time warping Fuzzy logic Unsupervised learning Consensus clustering K-means clustering Statistics Cluster analysis Machine learning
643	Event Identification in Social Media Hila Becker Mor Naaman Luis Gravano Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2009-06-13 17:07:03 Data mining Natural language processing Machine learning Information retrieval Cluster analysis Hierarchical clustering Document clustering K-means clustering BIRCH Statistics Information science Science
644	International Scholarly Research Network ISRN Artificial Intelligence Volume 2012, Article ID[removed], 8 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-08-14 09:15:53 DBSCAN OPTICS algorithm Fuzzy clustering K-means clustering Complete-linkage clustering Single-linkage clustering BIRCH Hierarchical clustering Genetic algorithm Statistics Cluster analysis Data mining
645	Learning Similarity Metrics for Event Identification in Social Media Hila Becker Mor Naaman Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2009-11-30 22:33:13 Multivariate statistics Natural language processing Cluster analysis Geostatistics Hierarchical clustering K-means clustering BIRCH Document clustering Information retrieval Statistics Data mining Machine learning
646	ASCLU: Alternative Subspace Clustering Stephan Günnemann Ines Färber Emmanuel Müller Add to Reading List Source URL: eecs.oregonstate.edu Language: English - Date: 2010-06-04 02:03:54 Correlation clustering K-means clustering Computer cluster Segmentation Consensus clustering SUBCLU Statistics Cluster analysis Clustering high-dimensional data
647	JMLR: Workshop and Conference Proceedings[removed]–50 Workshop on Applications of Pattern Analysis MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-09-30 09:37:27 Computational statistics Learning Data analysis Formal sciences Cluster analysis Geostatistics Data stream mining Concept drift K-means clustering Statistics Machine learning Data mining
648	Model Selection for Semi-Supervised Clustering Mojgan Pourrajabi Davoud Moulavi Ricardo J. G. B. Campello Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2014-01-23 11:19:29 Formal sciences Cluster analysis Data mining Pattern recognition Segmentation K-means clustering Cross-validation Constraint satisfaction Consensus clustering Statistics Machine learning Data analysis
649	Proc. ACM SIGMOD’99 Int. Conf. on Management of Data, Philadelphia PA, [removed]OPTICS: Ordering Points To Identify the Clustering Structure Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander Institute f Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 1999-04-14 09:43:39 OPTICS algorithm DBSCAN K-means clustering K-medoids BIRCH Hierarchical clustering Single-linkage clustering Medoid Reachability Statistics Cluster analysis Data mining
650	Density-based Projected Clustering over High Dimensional Data Streams Add to Reading List Source URL: siam.omnibooksonline.com Language: English - Date: 2012-03-30 09:05:46 Multivariate statistics Data mining Geostatistics BIRCH DBSCAN K-means clustering Correlation clustering Clustering high-dimensional data Consensus clustering Statistics Cluster analysis Data analysis

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