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K-means clustering
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#	Item
141	Patterns of Temporal Variation in Online Media Jaewon Yang Jure Leskovec Stanford University Add to Reading List Source URL: ilpubs.stanford.edu Language: English - Date: 2010-11-26 00:20:50 Statistics Data mining Computational statistics Cluster analysis Geostatistics K-means clustering K-medoids Silhouette Principal component analysis Hierarchical clustering Data stream clustering
142	ARTICLE IN PRESS Information Processing and Management xxxxxx–xxx Contents lists available at ScienceDirect Information Processing and Management Add to Reading List Source URL: www.bic.kyoto-u.ac.jp Language: English - Date: 2009-05-20 08:58:44 Statistics Information science Information Cluster analysis Machine learning Natural language processing Document clustering K-means clustering Hierarchical clustering Expectationmaximization algorithm Mixture model Information retrieval
143	Spatial and Temporal Analysis of Congestion in Urban Transportation Networks Yuxuan Ji Nikolas Geroliminis STRC 2010 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2010-08-28 08:23:41 Transport Land transport Road transport Geostatistics Cluster analysis Data mining Graph partition Image segmentation K-means clustering Traffic flow Fundamental diagram of traffic flow Silhouette
144	A Bayesian Approach to Cluster Validation Hoyt A. Koepke Bertrand Clarke Department of Computer Science Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-02-26 16:32:30 Statistics Applied mathematics Cluster analysis Mathematical physics Mathematical analysis Data mining Geostatistics K-means clustering Perturbation theory Mixture model Consensus clustering Hierarchical clustering
145	Genome Informatics 16(1): 3–Evaluating Distance Functions for Clustering Tandem Repeats Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2005-12-28 10:55:27 Statistics Computational statistics Data analysis Cluster analysis Data mining Geostatistics Hierarchical clustering Single-linkage clustering K-means clustering Silhouette Multiple sequence alignment K-medoids
146	Hypermetric k-Means Clustering for Content-based Document Management Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino, Dept. Biophysical and Electronic Engineering, University of Genoa, 16145 Genova, Italy { Add to Reading List Source URL: digilander.libero.it Language: English - Date: 2008-09-07 07:53:52
147	September 23, :26 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2008-01-08 02:30:13 Statistics Estimation theory Cluster analysis Machine learning Data mining Geostatistics Bioinformatics K-means clustering Gene expression profiling Expectationmaximization algorithm Hierarchical clustering Maximum likelihood estimation
148	An Objective Evaluation Criterion for Clustering Arindam Banerjee John Langford Dept of ECE Add to Reading List Source URL: hunch.net Language: English - Date: 2004-09-30 17:36:46 Machine learning Statistics Computational statistics Learning Cluster analysis Data mining Geostatistics K-means clustering Pattern recognition Statistical classification Balanced clustering Biclustering
149	Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters Add to Reading List Source URL: ijcai.org Language: English - Date: 2016-03-04 19:13:09 Mathematics Statistics Data analysis Cluster analysis Consensus clustering Non-negative matrix factorization K-means clustering Hierarchical clustering Spectral clustering Document clustering Graph partition Correlation clustering
150	November 7, :4 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2009-11-09 00:50:30 Statistics Mathematics Cluster analysis Computational statistics Data mining Geostatistics Spectral clustering Hierarchical clustering Bioinformatics K-means clustering Graph partition Clustering

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