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Results: 170

#	Item
151	Adaptive Non-Parametric Identification of Dense Areas using Cell Phone Records for Urban Analysis Alberto Rubioa, Angel Sanchezb, Enrique Frias-Martineza a b Add to Reading List Source URL: enriquefrias-martinez.info Language: English - Date: 2012-07-06 05:40:48 Data analysis Data mining Geostatistics Machine learning K-means clustering Segmentation DBSCAN Mean-shift Base transceiver station Statistics Multivariate statistics Cluster analysis
152	PDF Document Add to Reading List Source URL: cran.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
153	On the Use of Social Trajectory-Based Clustering Methods for Public Transport Optimization Jordi Nin1(B) , David Carrera1 , and Daniel Villatoro2 1 Barcelona Supercomputing Center (BSC), Add to Reading List Source URL: www.compose-project.eu Language: English - Date: 2014-01-13 04:30:42 Geostatistics Machine learning Hierarchical clustering K-means clustering DBSCAN ELKI Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Data mining
154	Information Visualization[removed], 232–246 & 2003 Palgrave Macmillan Ltd. All rights reserved[removed] $25.00 www.palgrave-journals.com/ivs Add to Reading List Source URL: www.spatialdatamining.org Language: English - Date: 2010-06-02 14:16:02 Cluster analysis Data mining Geostatistics K-means clustering DBSCAN Hierarchical clustering Principal component analysis OPTICS algorithm Clustering high-dimensional data Statistics Data analysis Multivariate statistics
155	Clustering Trajectories of Moving Objects in an Uncertain World Nikos Pelekis1, Ioannis Kopanakis2, Evangelos E. Kotsifakos1, Elias Frentzos1, Yannis Theodoridis1 1 Dept. of Informatics, Univ. of Piraeus, Greece {npeleki Add to Reading List Source URL: infolab.cs.unipi.gr Language: English - Date: 2014-02-06 09:36:22 Logic in computer science Fuzzy logic Cluster analysis K-means clustering DBSCAN Fuzzy set BIRCH Statistics Fuzzy clustering Artificial intelligence
156	8 Cluster Analysis: Basic Concepts and Algorithms Cluster analysis divides data into groups (clusters) that are meaningful, useful, or both. If meaningful groups are the goal, then the clusters should capture the Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2005-08-13 17:17:45 K-medoids Hierarchical clustering DBSCAN SUBCLU K-means clustering Conceptual clustering Computer cluster Segmentation Consensus clustering Statistics Cluster analysis Fuzzy clustering
157	Non-parametric Mixture Models for Clustering Pavan Kumar Mallapragada, Rong Jin and Anil Jain Department of Computer Science and Engineering, Michigan State University, East Lansing, MI[removed]Abstract. Mixture models Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-05-14 18:25:22 Multivariate statistics Data analysis Data mining K-means clustering Spectral clustering Mixture model DBSCAN Unsupervised learning Hierarchical clustering Statistics Machine learning Cluster analysis
158	Pattern Recognition Letters[removed]–666 Contents lists available at ScienceDirect Pattern Recognition Letters journal homepage: www.elsevier.com/locate/patrec Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-05-12 20:02:42 Multivariate statistics Data mining Geostatistics Consensus clustering Hierarchical clustering K-means clustering Spectral clustering Single-linkage clustering DBSCAN Statistics Cluster analysis Machine learning
159	International Journal on Soft Computing (IJSC) Vol.3, No.3, August[removed]EVOLVING EFFICIENT CLUSTERING AND CLASSIFICATION PATTERNS IN LYMPHOGRAPHY DATA THROUGH DATA MINING TECHNIQUES Shomona Gracia Jacob1 and R.Geetha Ra Add to Reading List Source URL: airccse.org Language: English - Date: 2012-09-03 08:21:48 Data mining Decision trees Cluster analysis Geostatistics DBSCAN K-means clustering Weka C4.5 algorithm Statistical classification Statistics Machine learning Computational statistics
160	rEMM: Extensible Markov Model for Data Stream Clustering in R Michael Hahsler Margaret H. Dunham Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-01-14 10:43:27 Data analysis Data mining Geostatistics Data stream clustering BIRCH K-medians clustering K-means clustering K-medoids DBSCAN Statistics Cluster analysis Multivariate statistics

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