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K-means clustering
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#	Item
351	PDF Document Add to Reading List Source URL: cran.es.r-project.org Language: English 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
352	PDF Document Add to Reading List Source URL: mirrors.dotsrc.org 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
353	PDF Document Add to Reading List Source URL: cran.mtu.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
354	PDF Document Add to Reading List Source URL: star-www.st-andrews.ac.uk Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
355	Clustering big datasets with XLSTAT - Using k-means clustering followed by an AHC demoCluster3.xls Dataset to cluster An Excel sheet containing both the data and the results for use in this tutorial can be downloaded Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 08:21:06 Network analysis K-means clustering Multivariate statistics Data analysis Consensus clustering Statistics Cluster analysis Hierarchical clustering
356	Clustering Methods for Road Grouping in FHWA Traffic Monitoring Factor Approach Rossi Riccardo, Gastaldi Massimiliano, Gecchele Gregorio, Caprini Armando Department of Structural and Transportation Engineering, Universi Add to Reading List Source URL: www.mech.kuleuven.be Language: English* - Date: 2011-06-01 10:21:41 Data analysis Formal sciences Data mining Hierarchical clustering Annual average daily traffic K-medoids Single-linkage clustering Medoid K-means clustering Statistics Cluster analysis Machine learning
357	k-means clustering to group observations demoCluster2.xls Dataset for k-means clustering An Excel sheet containing both the data and the results for use in this tutorial can be downloaded by clicking here. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 08:22:56 K-means clustering Hierarchical clustering Variance XLSTAT Multivariate statistics Determining the number of clusters in a data set Statistics Data analysis Cluster analysis
358	Consensus Clustering with Robust Evidence Accumulation Andr´e Louren¸co12 , Samuel Rota Bul`o3 , Ana Fred2 , and Marcello Pelillo3 1 Add to Reading List Source URL: www.dsi.unive.it Language: English - Date: 2013-11-05 05:14:47 Cluster analysis Consensus clustering Machine learning Non-negative matrix factorization Partition of a set Spectral clustering K-means clustering Distribution CURE data clustering algorithm Statistics Mathematics Multivariate statistics
359	Data Clustering Using Evidence Accumulation Ana L.N. Fred Telecommunications Institute Instituto Superior T´ecnico, Portugal Add to Reading List Source URL: www.lx.it.pt Language: English - Date: 2010-07-24 14:01:21 Multivariate statistics Data mining Geostatistics Single-linkage clustering K-means clustering Consensus clustering Unsupervised learning Determining the number of clusters in a data set Statistics Cluster analysis Machine learning
360	1 A Resampling Approach to Cluster Validation Volker Roth, Tilman Lange, Mikio Braun, and Joachim Buhmann University of Bonn, Institute of Computer Science III, R¨ Add to Reading List Source URL: cs-wwwarchiv.cs.unibas.ch Language: English - Date: 2007-12-03 08:49:16 Cluster analysis K-means clustering Stability Unsupervised learning Segmentation Pattern recognition Consensus clustering CURE data clustering algorithm Statistics Computational statistics Machine learning

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