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Complete-linkage clustering
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#	Item
11	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
12	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
13	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
14	Institut für Informatik und Wirtschaftsinformatik Lehrstuhl für Wirtschaftsinformatik V Data Mining – HWS 2014 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:28 DBSCAN K-means clustering Dendrogram Consensus clustering Complete-linkage clustering Statistics Cluster analysis Hierarchical clustering
15	Clustering Learning Objects Collections Using Cluster Ensembles Hanan Ayad and Mohamed Kamel Pattern Analysis and Machine Intelligence Group University of Waterloo, Waterloo, Ontario, Canada [removed] and m Add to Reading List Source URL: www.lornet.ca Language: English - Date: 2006-10-26 11:45:00 K-means clustering Segmentation Complete-linkage clustering Single-linkage clustering Statistics Cluster analysis Consensus clustering
16	Classical clustering methods. Attempt to identify groups of observations that are similar with respect to a certain number of variables. Similarity is “metric”: proximity, given some distance, in a space where observ Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-02-14 09:01:05 Bioinformatics Single-linkage clustering Cluster analysis K-means clustering Distance matrix Complete-linkage clustering Statistics Hierarchical clustering Network analysis
17	Cluster analysis for cognitive diagnosis: An application to the 2001 PIRLS reading assessment Chia-Yi Chiu Department of Educational Psychology, Rutgers University, New Brunswick, New Jersey, United States of America Add to Reading List Source URL: www.ierinstitute.org Language: English - Date: 2012-01-04 07:01:18 Multivariate statistics Data mining Geostatistics Complete-linkage clustering Item response theory Single-linkage clustering Hierarchical clustering K-means clustering Attribute Hierarchy Method Statistics Psychometrics Cluster analysis
18	Cluster Analysis for Cognitive Diagnosis by Chia-Yi Chiu Cluster Analysis for Cognitive Diagnosis: An Application to the 2001 PIRLS Reading Assessment Chia-Yi Chiu, Rutgers, The State University of New Jersey, chia-yi.c Add to Reading List Source URL: www.iea.nl Language: English - Date: 2011-08-10 09:26:30 Machine learning Data mining Geostatistics K-means clustering Hierarchical clustering Complete-linkage clustering Single-linkage clustering Item response theory Expectation–maximization algorithm Statistics Psychometrics Cluster analysis
19	An Introduction to Rclusterpp Michael Linderman Rclusterpp version[removed]as of November 6, 2013 Abstract The Rclusterpp package provides alternative implementations for common geometric hierarchical clustering algori Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:23:43 Machine learning Multivariate statistics Hierarchical clustering Network analysis Single-linkage clustering Cluster analysis Nearest neighbor search Complete-linkage clustering UPGMA Statistics Information science Data mining
20	Robust Hierarchical Clustering Maria Florina Balcan Georgia Institute of Technology School of Computer Science Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-03-08 12:53:19 Data mining Geostatistics Machine learning Hierarchical clustering Single-linkage clustering Nearest-neighbor chain algorithm Complete-linkage clustering Statistics Cluster analysis Data analysis

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