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Hierarchical clustering
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401	Learning Taxonomies by Dependence Maximization Matthew B. Blaschko Arthur Gretton Max Planck Institute for Biological Cybernetics Spemannstr. 38 Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:12:42 Multivariate statistics Cluster analysis Data analysis Data mining Geostatistics Machine learning Hierarchical clustering Spectral clustering Eigenvalues and eigenvectors Statistics Algebra Mathematics
402	This article was downloaded by: [Columbia University] On: 06 November 2011, At: 15:29 Publisher: Psychology Press Informa Ltd Registered in England and Wales Registered Number: [removed]Registered office: Mortimer House, Add to Reading List Source URL: faculty.tc.columbia.edu Language: English - Date: 2011-11-07 11:57:45 Applied mathematics Hierarchical clustering Network analysis K-nearest neighbor algorithm Metric tree R-tree Algorithm Multidimensional scaling Ultrametric space Mathematics Statistics Search algorithms
403	Appendix A. Properties of EDS grids In this appendix, we characterize the dispersion of points, the number of points, and the degree of uniformity of the constructed EDS. Also, we discuss the relation of our results to r Add to Reading List Source URL: www.qeconomics.org Language: English - Date: 2014-11-24 16:20:39 Hierarchical clustering Network analysis Cluster analysis Cosmic distance ladder K-means clustering Expected value Statistics Multivariate statistics Machine learning
404	Choosing a Clustering: An A Posteriori Method for Social Networks Samuel D. Pimentel Department of Statistics, Wharton School of the University of Pennsylvania, [removed] Add to Reading List Source URL: www.cmu.edu Language: English - Date: 2014-06-05 08:56:39 Hierarchical clustering Community structure Consensus clustering Fowlkes–Mallows Index Statistics Cluster analysis Single-linkage clustering
405	Appendix A. Properties of EDS grids In this appendix, we characterize the dispersion of points, the number of points, and the degree of uniformity of the constructed EDS. Also, we discuss the relation of our results to r Add to Reading List Source URL: qeconomics.org Language: English - Date: 2014-11-24 16:20:39 Hierarchical clustering Network analysis Cluster analysis Cosmic distance ladder K-means clustering Expected value Statistics Multivariate statistics Machine learning
406	This article was downloaded by: [Columbia University] On: 19 November 2011, At: 08:51 Publisher: Psychology Press Informa Ltd Registered in England and Wales Registered Number: [removed]Registered office: Mortimer House, Add to Reading List Source URL: faculty.tc.columbia.edu Language: English - Date: 2011-11-30 19:31:04 Applied mathematics Hierarchical clustering Network analysis K-nearest neighbor algorithm Metric tree R-tree Algorithm Multidimensional scaling Ultrametric space Mathematics Statistics Search algorithms
407	QUAC: Quick Unsupervised Anisotropic Clustering D. Hanwell, M. Mirmehdi Visual Information Laboratory, University of Bristol, Bristol, United Kingdom Abstract We present a novel unsupervised algorithm for quickly finding Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-07-08 05:45:18 Machine learning Data mining Geostatistics K-means clustering Gaussian function Hierarchical clustering Spectral clustering Segmentation DBSCAN Statistics Cluster analysis Multivariate statistics
408	Improved Annotation of the Blogopshere via Autotagging and Hierarchical Clustering Christopher H. Brooks Nancy Montanez Add to Reading List Source URL: www.cs.usfca.edu Language: English - Date: 2006-02-22 01:38:10 Collective intelligence Information retrieval Knowledge representation Metadata Tag Hierarchical clustering Cluster analysis Folksonomy Blog Information Web 2.0 World Wide Web
409	International Scholarly Research Network ISRN Artificial Intelligence Volume 2012, Article ID[removed], 6 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-08-14 09:16:28 Multivariate statistics Cluster analysis K-means clustering Hierarchical clustering BIRCH FLAME clustering CURE data clustering algorithm Statistics Fuzzy clustering Geostatistics
410	Joumal of Classification 12:[removed]A Graph-Theoretic Method for Organizing Overlapping Clusters into Trees, Multiple Trees, or Extended Trees J. Douglas CarroU Rutgers University Add to Reading List Source URL: faculty.tc.columbia.edu Language: English - Date: 2011-11-07 11:57:28 Hierarchical clustering Cluster analysis Graph operations Nearest-neighbor chain algorithm Graph theory Clique Graph

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