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Results: 170

#	Item
141	Institut für Informatik und Wirtschaftsinformatik Lehrstuhl für Wirtschaftsinformatik V Data Mining – HWS 2014 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:28 DBSCAN K-means clustering Dendrogram Consensus clustering Complete-linkage clustering Statistics Cluster analysis Hierarchical clustering
142	Package ‘fpc’ October 2, 2014 Title Flexible procedures for clustering Version 2.1-9 Date 2014-10-01 Author Christian Hennig Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-02 11:18:21 Machine learning Cluster analysis Singular value decomposition Mahalanobis distance DBSCAN K-means clustering Computer cluster Statistical classification Eigenvalues and eigenvectors Statistics Multivariate statistics Data analysis
143	doi:[removed]j.ijar[removed] Add to Reading List Source URL: www.inf.uni-konstanz.de Language: English - Date: 2010-11-08 10:11:58 Fuzzy clustering K-means clustering DBSCAN K-medoids Multiverse Consensus clustering Clustering high-dimensional data Statistics Cluster analysis Multivariate statistics
144	Fuzzy Clustering in Parallel Universes with Noise Detection Bernd Wiswedel and Michael R. Berthold Department of Computer and Information Science, University of Konstanz[removed]Konstanz, Germany {wiswedel,berthold}@inf.un Add to Reading List Source URL: www.inf.uni-konstanz.de Language: English - Date: 2010-11-08 10:11:58 Machine learning Cluster analysis K-means clustering K-medoids DBSCAN Consensus clustering CURE data clustering algorithm Statistics Fuzzy clustering Multivariate statistics
145	CMIC@TREC-2009: Relevance Feedback Track Kareem Darwish, Ahmed El-Deeb Cairo Microsoft Innovation Center (CMIC) Bldg. B115, Smart Village, Km. 28 Cairo-Alexandria Desert Rd., Abou Rawash, Egypt Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-02-03 09:46:20 Science Cluster analysis Document clustering Relevance feedback Relevance DBSCAN Hierarchical clustering Precision and recall Query expansion Information science Statistics Information retrieval
146	Fuzzy Clustering in Parallel Universes Bernd Wiswedel and Michael R. Berthold ALTANA-Chair for Bioinformatics and Information Mining Department of Computer and Information Science, University of Konstanz[removed]Konstanz, Add to Reading List Source URL: www.inf.uni-konstanz.de Language: English - Date: 2010-11-08 10:11:58 Data analysis Fuzzy clustering K-means clustering Multiverse DBSCAN K-medoids Principal component analysis Consensus clustering CURE data clustering algorithm Statistics Cluster analysis Multivariate statistics
147	Package ‘stream’ July 14, 2014 Version[removed]Date[removed]Title Infrastructure for Data Stream Mining Description A framework for data stream modeling and associated data mining tasks such as clustering and classi Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-14 17:38:50 Cluster analysis Data stream clustering K-means clustering Single-linkage clustering Hierarchical clustering Statistics Data mining DBSCAN
148	INVESTIGATION OF POLAR SEASONAL FAN DEPOSITS USING CROWDSOURCING K.-M. Aye1, M. E. Schwamb2, C. J. Hansen3 , G. Portyankina4. 1Dept. Earth, Planetary, and Space Sciences, UCLA, Los Angeles, CA, USA (michael.aye@ucla.e Add to Reading List Source URL: www.hou.usra.edu Language: English - Date: 2014-07-25 19:12:10 Zooniverse DBSCAN Fan Science Space Computing Citizen science Human-based computation Crowdsourcing
149	streamMOA: Interface to Algorithms from MOA for stream Matthew Bola˜ nos John Forrest Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:38:08 Cluster analysis Data analysis Data mining Geostatistics Data stream clustering K-means clustering DBSCAN Statistics Multivariate statistics Machine learning
150	C:/Users/eryiliu/Desktop/KDD11_final/recon.dvi Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2011-09-15 17:22:23 Hierarchical clustering Cluster analysis DBSCAN Constraint satisfaction K-means clustering Support vector machine Decomposition method Consensus clustering Statistics Multivariate statistics Constrained clustering

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