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Single-linkage clustering
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71	ITCH: Information-Theoretic Cluster Hierarchies Christian B¨ohm1 , Frank Fiedler1 , Annahita Oswald1 , Claudia Plant2 , Bianca Wackersreuther1 , and Peter Wackersreuther1 1 University of Munich, Munich, Germany {boehm,f Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-27 08:33:14 Cluster analysis Data mining Geostatistics Hierarchical clustering Information bottleneck method Segmentation OPTICS algorithm K-means clustering Single-linkage clustering Statistics Multivariate statistics Machine learning
72	SkyDist: Data Mining on Skyline Objects Christian B¨ohm1 , Annahita Oswald1 , Claudia Plant2 , Michael Plavinski1 , and Bianca Wackersreuther1 1 University of Munich Technische Universit¨at M¨unchen Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-06-29 06:03:13 Data mining Machine learning Geostatistics DBSCAN Hierarchical clustering K-medoids Single-linkage clustering Nearest neighbor search Skyline Statistics Information science Cluster analysis
73	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
74	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
75	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
76	Clustering via Similarity Functions: Theoretical Foundations and Algorithms∗ Maria-Florina Balcan† Avrim Blum‡ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-10-31 19:53:49 Hierarchical clustering K-means clustering Single-linkage clustering K-medians clustering Document clustering Consensus clustering Machine learning Data stream clustering Statistics Cluster analysis Correlation clustering
77	BIOINFORMATICS ORIGINAL PAPER Sequence analysis Add to Reading List Source URL: my.unil.ch Language: English Computational phylogenetics Cluster analysis Data mining Geostatistics Single-linkage clustering Hierarchical clustering Internal transcribed spacer Sequence alignment BLAST Statistics Science Bioinformatics
78	Label the many with a few: Semi-automatic medical image modality discovery in a large image collection Szil´ard Vajda, Daekeun You, Sameer K. Antani, George R. Thoma Lister Hill National Center for Biomedical Communicat Add to Reading List Source URL: www.lhncbc.nlm.nih.gov Language: English - Date: 2015-01-17 17:51:09 Artificial intelligence Pattern recognition K-means clustering Semi-supervised learning Statistical classification Single-linkage clustering Label Machine learning Computational statistics Statistics
79	Label the many with a few: Semi-automatic medical image modality discovery in a large image collection Szil´ard Vajda, Daekeun You, Sameer K. Antani, George R. Thoma Lister Hill National Center for Biomedical Communicat Add to Reading List Source URL: lhncbc.nlm.nih.gov Language: English - Date: 2015-01-09 12:42:50 Artificial intelligence Pattern recognition K-means clustering Semi-supervised learning Statistical classification Single-linkage clustering Label Machine learning Computational statistics Statistics
80	TiPSE The Territorial Dimension of Poverty and Social Exclusion in Europe Applied Research[removed]Work Package 2.9 Typology of Countries Add to Reading List Source URL: www.espon.eu Language: English - Date: 2014-08-01 01:42:01 Data mining Geostatistics Social exclusion Hierarchical clustering Single-linkage clustering Computer cluster Cosmic distance ladder Statistics Cluster analysis Data analysis

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