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Fuzzy clustering
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#	Item
101	METHODS TO CLASSIFY OR GROUP LARGE SETS OF SIMILAR UNDERWATER SIGNALS L. J. Hamilton Defence Science & Technology Organisation (DSTO), 13 Garden St, Eveleigh, NSW 2015 Add to Reading List Source URL: www.acoustics.asn.au Language: English - Date: 2013-04-11 20:58:46 Cluster analysis Data mining Geostatistics K-means clustering Segmentation Sonar Fuzzy clustering Acoustic Seabed Classification Chirp Statistics Signal processing Image processing
102	NCSS Statistical Software NCSS.com Chapter 448 Add to Reading List Source URL: ncss.wpengine.netdna-cdn.com Language: English - Date: 2015-01-06 16:08:06 Fuzzy clustering K-means clustering Variable Determining the number of clusters in a data set FLAME clustering Statistics Cluster analysis Multivariate statistics
103	Machine Learning Photo: CMU Machine Learning Department protests G20 Computer Vision Add to Reading List Source URL: cs.brown.edu Language: English - Date: 2013-10-09 13:54:38 K-means clustering Computer cluster Spectral clustering Cluster analysis Fuzzy clustering Statistics Computing Computational statistics
104	A Tool Chain for a Lightweight, Robust and Uncertainty-based Context Classification System (CCS) Henning Günther, Firas El Simrany, Martin Berchtold and Michael Beigl Institut für Betriebssysteme und Rechnerverbund, Te Add to Reading List Source URL: www.teco.edu Language: English - Date: 2010-07-22 12:05:33 Statistical classification Fuzzy clustering Pattern recognition Fuzzy control system Geographic information system Statistics Machine learning Cluster analysis
105	Topic Extraction for Ontology Learning 1 Running head: TOPIC EXTRACTION FOR ONTOLOGY LEARNING Topic Extraction for Ontology Learning Add to Reading List Source URL: www.rizoiu.eu Language: English - Date: 2013-10-18 16:02:59 Machine learning Natural language processing Knowledge representation Cluster analysis Multivariate statistics K-means clustering WordNet Fuzzy clustering Terminology extraction Statistics Artificial intelligence Science
106	Clustering based on Dissimilarity First Derivatives Ana Fred Telecommunications Institute Instituto Superior Tecnico, Lisbon, Portugal, Add to Reading List Source URL: www.lx.it.pt Language: English - Date: 2010-07-24 14:01:21 K-means clustering Single-linkage clustering Dendrogram Consensus clustering Fuzzy clustering Statistics Cluster analysis Hierarchical clustering
107	Clustering Australian Regional Areas: An Optimisation Approach Add to Reading List Source URL: www.anzrsai.org Language: English - Date: 2014-04-15 21:41:43 Multivariate statistics Data analysis Data mining K-means clustering Fuzzy clustering Statistics Cluster analysis Geostatistics
108	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.at.r-project.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
109	PDF Document Add to Reading List Source URL: cran.wustl.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
110	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: ftp.osuosl.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

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