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Results: 170

#	Item
131	On Exploring Complex Relationships of Correlation Clusters Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2007-07-19 06:38:52 Data analysis Machine learning Singular value decomposition OPTICS algorithm DBSCAN Correlation clustering Hierarchical clustering Principal component analysis Biclustering Statistics Multivariate statistics Cluster analysis
132	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
133	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
134	Mining Subspace Clusters: Enhanced Models, Efficient Algorithms and an Objective Evaluation Study Emmanuel Muller ¨ supervised by Prof. Thomas Seidl Data Management and Data Exploration Group Add to Reading List Source URL: dme.rwth-aachen.de Language: English - Date: 2015-02-08 05:37:02 Multivariate statistics Machine learning Clustering high-dimensional data SUBCLU DBSCAN Correlation clustering Data mining Principal component analysis Segmentation Statistics Cluster analysis Data analysis
135	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
136	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
137	to appear in: Proceedings of the 14th SIAM International Conference on Data Mining (SDM), Philadelphia, PA, 2014 Density-Based Clustering Validation Davoud Moulavi∗ Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2014-01-24 04:02:30 Determining the number of clusters in a data set OPTICS algorithm Hierarchical clustering Segmentation Silhouette Globular cluster Consensus clustering Fowlkes–Mallows Index Statistics Cluster analysis DBSCAN
138	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
139	When Pattern Met Subspace Cluster a Relationship Story Jilles Vreeken1 and Arthur Zimek2 1 Advanced Database Research and Modeling, Universiteit Antwerpen, Belgium Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2011-08-29 12:12:40 Data mining Geostatistics SUBCLU Biclustering Clustering high-dimensional data Association rule learning DBSCAN Computer cluster Consensus clustering Statistics Cluster analysis Data analysis
140	Institut für Informatik und Wirtschaftsinformatik Lehrstuhl für Wirtschaftsinformatik V Data Mining – FSS 2014 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:26 DBSCAN K-means clustering Dendrogram Consensus clustering Complete-linkage clustering Statistics Cluster analysis Hierarchical clustering

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