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Single-linkage clustering
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41	Online edition (cCambridge UP DRAFT! © April 1, 2009 Cambridge University Press. Feedback welcome. 17 HIERARCHICAL Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2009-04-01 00:45:02 Data mining Geostatistics Hierarchical clustering Complete-linkage clustering Single-linkage clustering K-means clustering Consensus clustering UPGMA Statistics Cluster analysis Data analysis
42	Clustering of the self-organizing map - Neural Networks, IEEE Transactions on Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:40 Data mining Geostatistics Hierarchical clustering Fuzzy clustering Single-linkage clustering Davies–Bouldin index Self-organizing map Dendrogram U-matrix Statistics Cluster analysis Neural networks
43	Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs David Eppstein∗ Abstract dynamic closest pair problem. It can be solved by brute force 2 We develop data structures for dynamic closest pair Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 1997-11-20 19:58:04 Data mining Machine learning Search algorithms Cluster analysis Image processing Hierarchical clustering Nearest neighbor search UPGMA Single-linkage clustering Statistics Mathematics Information science
44	Comparing Clusterings – An Axiomatic View Marina Meil˘ a University of Washington, Box[removed], Seattle, WA[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-06-24 20:29:04 Multivariate statistics Variation of information Cluster analysis Single-linkage clustering Hierarchical clustering Rand index Lattice Partition of a set Consensus clustering Statistics Mathematics Machine learning
45	Constrained Locally Weighted Clustering Hao Cheng, Kien A. Hua and Khanh Vu School of Electrical Engineering and Computer Science University of Central Florida Orlando, FL, 32816 {haocheng, Add to Reading List Source URL: www.vldb.org Language: English - Date: 2008-10-22 09:22:52 Machine learning Multivariate statistics Data mining Cluster analysis Constrained clustering K-means clustering Single-linkage clustering Spectral clustering Hierarchical clustering Statistics Mathematics Computational statistics
46	Comparison of Spectral Clustering Methods Deepak Verma Department of CSE University of Washington Seattle, WA[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-20 23:00:34 K-means clustering Cluster analysis Single-linkage clustering Consensus clustering Statistics Multivariate statistics Spectral clustering
47	LNAI[removed]Uncertain Data Mining: An Example in Clustering Location Data Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2006-10-18 01:36:35 Cluster analysis Data mining Geostatistics Fuzzy clustering K-means clustering Single-linkage clustering Principal component analysis Consensus clustering Determining the number of clusters in a data set Statistics Multivariate statistics Data analysis
48	Essays of an Information Scientist, Vol:9, p.324, 1986 Current Contents, #43, p.3-14, October 27, 1986 click here to go to : The Geography of Science: Disciplinary and National Mapping, by Henry Small and Eugene Garfiel Add to Reading List Source URL: www.garfield.library.upenn.edu Language: English - Date: 2001-03-01 15:36:14 Data analysis Data mining Geostatistics Machine learning Cluster Ridge Computer cluster Citation index Single-linkage clustering Statistics Computing Cluster analysis
49	Essays of an Information Scientist, Vol:4, p.634, [removed]Current Contents, #40, p.5-12, October 6, 1980 Most L Number Add to Reading List Source URL: www.garfield.library.upenn.edu Language: English - Date: 2000-05-09 12:01:51 Library science Cluster analysis Academic publishing Data mining Citation index Single-linkage clustering Bibliographic coupling Citation Computer cluster Statistics Bibliometrics Knowledge
50	22nd National Conference of the Australian Society for Operations Research, Adelaide, Australia, 1–6 December 2013 www.asor.org.au/conferences/asor2013 Contextual Clustering Grouping and classifying problems in a defin Add to Reading List Source URL: www.asor.org.au Language: English - Date: 2013-11-24 18:45:34 Data mining Geostatistics K-means clustering Single-linkage clustering Sampling Computer cluster Consensus clustering Clustering high-dimensional data Statistics Cluster analysis Data analysis

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