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K-means clustering
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#	Item
461	Equi-sized, Homogeneous Partitioning Frank Klawonn1 and Frank H¨oppner2 1 Department of Computer Science University of Applied Sciences Braunschweig /Wolfenb¨ Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2007-12-03 03:22:26 Machine learning Multivariate statistics K-means clustering Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Fuzzy clustering
462	University of Waterloo at TREC 2014 Contextual Suggestion: Experiments with suggestion clustering Luchen Tan Adriel Dean-Hall Pragnya Addala Charles L.A. Clarke Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-10-31 05:53:37 K-means clustering Computer cluster Cluster analysis Cluster labeling Statistics Computing Computer programming
463	Geosci. Model Dev., 5, 1245–1257, 2012 www.geosci-model-dev.netdoi:gmd © Author(sCC Attribution 3.0 License. Geoscientific Add to Reading List Source URL: www.geosci-model-dev.net Language: English - Date: 2014-12-04 04:10:56 Image processing Computer simulation Scientific modeling Virtual reality Pixel K-means clustering Global climate model Standard deviation Cluster analysis Statistics Computational science Data analysis
464	GamRec: a Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing Ruth Janning, Tom´ aˇs Horv´ath, Andre Busche, and Lars Schmidt-Thieme University of Hildesheim, Information Systems and Ma Add to Reading List Source URL: www.ismll.uni-hildesheim.de Language: English - Date: 2015-04-21 10:16:00 Analytic geometry Curves Hyperbola Cluster analysis DBSCAN K-means clustering Unit hyperbola Statistics Geometry Algebraic geometry
465	Analysing a Complex Agent-Based Model Using Data-Mining Techniques Bruce Edmonds, Claire Little Laurence Lessard-Phillips, Ed Fieldhouse Add to Reading List Source URL: cfpm.org Language: English - Date: 2014-09-09 10:31:18 Data mining Geostatistics Machine learning Hierarchical clustering Social simulation Computer cluster K-means clustering Consensus clustering Statistics Data analysis Cluster analysis
466	k-means++ under Approximation Stability Manu Agarwal1? , Ragesh Jaiswal2 , and Arindam Pal3?? 1 3 Add to Reading List Source URL: www.cse.iitd.ernet.in Language: English - Date: 2013-03-11 23:00:27 K-medians clustering Operations research K-means++ XTR Expected value Dirac delta function Normal distribution Mathematics Statistics Mathematical analysis
467	k-means++ under Approximation Stability Manu Agarwal, Ragesh Jaiswal and Arindam Pal Arindam Pal TCS Innovation Labs Kolkata Add to Reading List Source URL: www.cse.iitd.ernet.in Language: English - Date: 2013-05-30 11:51:49 Cluster analysis Multivariate statistics Statistics K-means++ K-means clustering
468	Towards Story Visualization from Social Multimedia Unaiza Ahsan Irfan Essa Georgia Institute of Technology Add to Reading List Source URL: compute-cuj.org Language: English - Date: 2014-10-24 07:34:18 Cluster analysis Geostatistics K-means clustering Principal component analysis Correlation clustering Gaussian function Consensus clustering Determining the number of clusters in a data set Statistics Multivariate statistics Data analysis
469	Biogeosciences, 8, 279–288, 2011 www.biogeosciences.netdoi:bg © Author(sCC Attribution 3.0 License. Biogeosciences Add to Reading List Source URL: www.biogeosciences.net Language: English - Date: 2014-12-03 13:26:36 Cluster analysis K-means clustering Thresholding Soil Artificial neural network Mathematical morphology Statistics Image processing Segmentation
470	Spatial distance dependent Chinese restaurant processes for image segmentation Soumya Ghosh1 , Andrei B. Ungureanu2 , Erik B. Sudderth1 , and David M. Blei3 1 Department of Computer Science, Brown University, {sghosh,su Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Cluster analysis Image processing Segmentation Market segmentation Dirichlet process K-means clustering Mixture model Chinese restaurant process Spectral clustering Statistics Stochastic processes Machine learning

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