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K-means
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#	Item
761	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
762	Multiscale Storm Identification and Forecast V Lakshmanan1 , R. Rabin2 , V. DeBrunner3∗ Abstract We describe a recently developed hierarchical K-Means clustering method for weather images. that can be employed to ident Add to Reading List Source URL: www.cimms.ou.edu Language: English - Date: 2003-02-21 13:43:50 Telecommunications engineering Region growing Wireless Watershed Weather radar Market segmentation Synthetic aperture radar Scale-space segmentation Range segmentation Image processing Segmentation Technology
763	Clustering Appearances of Objects Under Varying Illumination Conditions Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2003-08-06 19:28:42 Cluster analysis Data mining Geostatistics Spectral clustering Non-negative matrix factorization K-means clustering Segmentation Principal component analysis Consensus clustering Statistics Multivariate statistics Data analysis
764	Microsoft Word - trecvid06-28Feb2007-20h.doc Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-03-13 13:55:49 Image processing Unsupervised learning K-means clustering Segmentation Red Digital Cinema Camera Company Statistics Artificial intelligence Learning Video processing Shot transition detection Machine learning
765	Clusterings should not be compared by visual inspection: response to Gagné & Proulx Add to Reading List Source URL: www.helsinki.fi Language: English - Date: 2010-03-17 09:50:35 Machine learning Data mining Geostatistics K-means clustering Hellinger distance Consensus clustering Statistics Cluster analysis Multivariate statistics
766	Fiscal Sponsorship Fiscal Sponsorship is one alternative to starting a new nonprofit organization, fiscal sponsorship (a.k.a. being umbrellaed under an existing nonprofit) is a legitimate means to meet a need in a commun Add to Reading List Source URL: www.lbnp.org Language: English - Date: 2011-08-09 21:14:30 Sponsor Business Tides Center Fiscal sponsorship BoardSource
767	BJTU TRECVID 2007 Video Search Shikui Wei, Yao Zhao, Zhenfeng Zhu, Nan Liu , Yufeng Zhao, Fang Wang, Xie Lin Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China E-mail: [removed] Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-11-28 11:17:10 Data mining Geostatistics Machine learning K-means clustering Information retrieval Relevance Segmentation Spectral clustering Hierarchical clustering Statistics Multivariate statistics Cluster analysis
768	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
769	Clustering through Mixture Models General references: Lindsay B.G[removed]), Mixture models: theory, geometry and applications, NFSCBMS Regional Conference Series in Probability and Statistics. McLachlan G.J., Basford K.E. Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-02-21 11:52:34 K-means clustering Expectation–maximization algorithm Cluster analysis Principal component analysis Variance Multivariate normal distribution Statistics Data analysis Multivariate statistics
770	Information Theoretical Clustering via Semidefinite Programming Meihong Wang Department of Computer Science U. of Southern California Los Angeles, CA 90089 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:05 Information theory Multivariate statistics Mathematical optimization Data mining Semidefinite programming Cluster analysis K-means clustering Entropy Spectral clustering Statistics Mathematical sciences Operations research

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