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K-means clustering
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#	Item
701	Microsoft Word - jrs_paper_post_workshop_v1.doc Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-03-13 13:55:45 Data analysis Geostatistics Machine learning Segmentation MPEG-7 Hierarchical clustering Relevance K-means clustering Usability Statistics Data mining Cluster analysis
702	The exploration of multi-wavelength astronomical datasets: the case of AGNS in the Chandra Source Catalog and unsupervised clustering. R. D’Abrusco KISS Study Program - Digging Deeper: Algorithms for Computationally li Add to Reading List Source URL: www.kiss.caltech.edu Language: English - Date: 2011-06-10 17:03:34 Hierarchical clustering Network analysis Outlier Dendrogram Space K-means clustering Statistics Cluster analysis Data analysis
703	Large-Margin Metric Learning for Constrained Partitioning Problems R´emi Lajugie REMI . LAJUGIE @ ENS . FR Sylvain Arlot Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Multivariate statistics Data analysis Data mining Geostatistics Spectral clustering Segmentation K-means clustering Correlation clustering Eigenvalues and eigenvectors Statistics Mathematics Cluster analysis
704	A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language Karl Stratos† Do-kyum Kim‡ Michael Collins† Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:19 Multivariate statistics Machine learning Linear algebra Matrix theory Cluster analysis Data mining Single-linkage clustering Hierarchical clustering K-means clustering Statistics Mathematics Algebra
705	Searching the World’s Herbaria: A System for Visual Identification of Plant Species Peter N. Belhumeur1 , Daozheng Chen2 , Steven Feiner1 , David W. Jacobs2, W. John Kress3 , Haibin Ling4 , Ida Lopez3 , Ravi Ramamoorth Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2009-02-02 09:13:22 Imaging Optics Segmentation Shape context K-means clustering HSL and HSV Caltech 101 Computer vision Image processing Vision
706	Package ‘clusterSim’ July 7, 2014 Title Searching for optimal clustering procedure for a data set Version 0.43-5 Date 2014-07-08 Author Marek Walesiak Andrzej Dudek Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-07 10:12:48 Multivariate statistics Algebra of random variables Cluster analysis Covariance Variance Comma-separated values K-means clustering Level of measurement Statistics Data analysis Covariance and correlation
707	Package ‘sjPlot’ September 10, 2014 Type Package Encoding UTF-8 Title sjPlot - data visualization for statistics in social science Version 1.5 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-19 10:54:34 Data mining Geostatistics K-means clustering SPSS Hierarchical clustering Computer cluster Plot Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Data analysis
708	Data Science with R Cluster Analysis [removed] 22nd June 2014 Visit http://onepager.togaware.com/ for more OnePageR’s. Add to Reading List Source URL: handsondatascience.com Language: English - Date: 2014-06-21 22:45:06 Statistics Cluster analysis K-means clustering
709	An Algorithm to Identify and Track Objects on Spatial Grids VA L L I A P PA L A K S H M A N A N N AT I O N A L S E V E R E S T O R M S L A B O R AT O R Y / U N I V E R S I T Y OF OKLAHOMA S E P, [removed] Add to Reading List Source URL: cimms.ou.edu Language: English - Date: 2009-09-17 10:23:02 Statistics K-means clustering Vector quantization Centroid Motion estimation Geometry Image processing Segmentation
710	A Taxonomy and Comparative Evaluation of Algorithms for Parallel Anomaly Detection Shashank Shanbhag∗ , Yu Gu† , Tilman Wolf∗ ∗ Department Add to Reading List Source URL: www.ecs.umass.edu Language: English - Date: 2013-12-04 11:29:30 Theoretical computer science Cluster analysis Geostatistics Anomaly detection Algorithm Pattern recognition K-means clustering Change detection Support vector machine Statistics Data mining Machine learning

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