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Hierarchical clustering
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#	Item
641	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Machine learning Data mining Geostatistics Hierarchical clustering K-means clustering Prior probability Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Multivariate statistics
642	Bottlenecks drive temporal and spatial genetic changes in alpine caddisfly metapopulations Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Network analysis Cluster analysis Geostatistics Hierarchical clustering K-means clustering Consensus clustering Canopy clustering algorithm Statistics Data mining Machine learning
643	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Data analysis Cancer research Microarrays Consensus clustering Hierarchical clustering The Cancer Genome Atlas K-means clustering Gene expression profiling Biclustering Statistics Multivariate statistics Cluster analysis
644	Cluster and TreeView Manual Software and Manual written by Michael Eisen Software copyright Stanford University[removed]This manual is only partially complete and is a work in progress. A completed manual will be availa Add to Reading List Source URL: rana.lbl.gov Language: English - Date: 2009-08-09 15:41:24 Multivariate statistics Statistical dependence Cluster analysis Correlation and dependence Pearson product-moment correlation coefficient Hierarchical clustering Correlation Statistics Covariance and correlation Data analysis
645	Surgical management of Diabetic foot ulcers: A Tanzanian university teaching hospital experience Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Cluster analysis Gene expression Data mining K-means clustering Gene expression profiling Hierarchical clustering Computer cluster DNA microarray Consensus clustering Statistics Biology Microarrays
646	Proceedings of the International MultiConference of Engineers and Computer Scientists 2010 Vol I, IMECS 2010, March[removed], 2010, Hong Kong Add to Reading List Source URL: www.iaeng.org Language: English - Date: 2010-02-28 16:49:17 Data mining Geostatistics K-means clustering Document clustering BIRCH Data stream clustering Fuzzy clustering Hierarchical clustering K-medians clustering Statistics Cluster analysis Data analysis
647	DRAFT! © April 1, 2009 Cambridge University Press. Feedback welcome. 16 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2009-04-01 00:44:59 Machine learning Information retrieval Cluster analysis Geostatistics Document clustering Hierarchical clustering K-means clustering Relevance Nearest neighbor search Statistics Information science Data mining
648	CompuTerm[removed]3rd International Workshop on Computational Terminology 63 Add to Reading List Source URL: acl.ldc.upenn.edu Language: English - Date: 2004-09-02 16:11:38 Machine learning Multivariate statistics Cluster analysis Lexical semantics Word-sense disambiguation WordNet Semantic similarity Hierarchical clustering K-means clustering Statistics Computational linguistics Linguistics
649	Crowd Synthesis: Extracting Categories and Clusters from Complex Data Paul Andr´e, Aniket Kittur, Steven P. Dow Add to Reading List Source URL: paul.is Language: English - Date: 2013-10-14 05:41:58 Multivariate statistics Geostatistics Semantics Cluster analysis Data mining Hierarchical clustering Categorization Statistical classification Qualitative research Statistics Machine learning Science
650	A Dependence Maximization View of Clustering Le Song Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-05-14 23:21:47 Singular value decomposition Cluster analysis Kernel principal component analysis Signal processing Spectral clustering K-means clustering Hierarchical clustering Principal component analysis Eigenvalues and eigenvectors Statistics Multivariate statistics Data analysis

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