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K-means
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491	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: mirrors.nics.utk.edu Language: English - Date: 2013-01-05 06:05:58 Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
492	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: www.vps.fmvz.usp.br Language: English - Date: 2013-01-05 06:05:58 Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
493	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: cran.rstudio.com Language: English - Date: 2013-01-05 06:05:58 Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
494	Microsoft PowerPoint - Junjie Wu--KCC [兼容模式] Add to Reading List Source URL: www.rocq.inria.fr Language: English - Date: 2013-03-26 05:35:37 K-means clustering DBSCAN Clustering high-dimensional data Correlation clustering Statistics Cluster analysis Consensus clustering
495	Fundamental Limitations of Spectral Clustering Boaz Nadler∗, Meirav Galun Department of Applied Mathematics and Computer Science Weizmann Institute of Science, Rehovot, Israelboaz.nadler,meirav.galun@weizmann.a Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-12-10 07:58:37 Singular value decomposition Cluster analysis Spectral clustering Information bottleneck method Eigenvalues and eigenvectors Principal component analysis Segmentation K-means clustering Graph partition Statistics Multivariate statistics Data analysis
496	index Symbols Dirichlet clustering 174 distributed item-based designing 95–98 Add to Reading List Source URL: www.manning.com Language: English - Date: 2011-10-05 10:03:41 Statistical classification Cluster analysis Data mining Geostatistics MapReduce K-means clustering Apache Hadoop Apache Mahout Random forest Statistics Computational statistics Machine learning
497	Visualising Clusters in High-Dimensional Data Sets by Intersecting Spheres Frank H¨oppner and Frank Klawonn Abstract— In this paper, we re-consider the problem of mapping a high-dimensional data set into a low-dimensi Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2007-12-03 03:22:12 Spheres Multivariate statistics Fuzzy clustering K-means clustering 3-sphere N-sphere Cluster chemistry Bounding sphere Determining the number of clusters in a data set Statistics Geometry Cluster analysis
498	ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly Alex Beutel Amr Ahmed Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2015-03-09 20:19:28 Matrix theory Cluster analysis Multivariate statistics Data analysis Linear algebra Singular value decomposition K-means clustering Biclustering Normal distribution Algebra Statistics Mathematics
499	Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research Eamonn Keogh Jessica Lin Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2004-06-03 07:42:00 Geostatistics Machine learning K-means clustering Hierarchical clustering Segmentation Consensus clustering K-means++ Statistics Cluster analysis Data mining
500	Online edition (cCambridge UP DRAFT! © April 1, 2009 Cambridge University Press. Feedback welcome. 17 HIERARCHICAL Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2009-04-01 00:45:02 Data mining Geostatistics Hierarchical clustering Complete-linkage clustering Single-linkage clustering K-means clustering Consensus clustering UPGMA Statistics Cluster analysis Data analysis

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