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Hierarchical clustering
Results: 694

#	Item
431	Hierarchical structure and the prediction of missing links in networks Aaron Clauset,1,3 Cristopher Moore,1,2,3 M. E. J. Newman3,4∗ 1 Department of Computer Science and 2 Department of Physics and Astronomy, Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-12-06 15:12:26 Networks Network analysis Algebraic graph theory Complex network Community structure Random graph Modularity Clustering coefficient Dendrogram Graph theory Mathematics Network theory
432	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
433	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
434	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
435	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
436	Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2012, Article ID[removed], 19 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-05-08 04:33:34 Data mining Geostatistics Machine learning Hierarchical clustering Online analytical processing Statistics Cluster analysis Data analysis
437	An algorithm to assess the reliability of hierarchical clusters in gene expression data Roberto Avogadri1 , Matteo Brioschi2 , Francesca Ruffino1 , Fulvia Ferrazzi3 , Alessandro Beghini2 and Giorgio Valentini1 1 Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2008-04-26 07:55:14 Hierarchical clustering Computer cluster Complete-linkage clustering Single-linkage clustering Statistics Cluster analysis Consensus clustering
438	Large-Scale Community Detection on YouTube for Topic Discovery and Exploration Ullas Gargi Wenjun Lu Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2012-04-01 20:13:23 Data mining Geostatistics Community structure Graph partition Computer cluster Modularity Hierarchical clustering Correlation clustering Statistics Cluster analysis Data analysis
439	Proc. ACM Int. Conf. on Management of Data (SIGMOD), Paris, France, 2004 Computing Clusters of Correlation Connected Objects Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek Institute for Computer Science Univ Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2004-06-23 07:21:35 Multivariate statistics Singular value decomposition Cluster analysis Data mining OPTICS algorithm DBSCAN Principal component analysis Eigenvalues and eigenvectors Hierarchical clustering Statistics Algebra Data analysis
440	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

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