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Results: 170

#	Item
161	Introduction to stream: An extensible Framework for Data Stream Clustering Research with R Michael Hahsler Matthew Bola˜ nos Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-06-16 18:19:30 Data analysis Multivariate statistics Cluster analysis Data stream clustering BIRCH K-means clustering DBSCAN Hierarchical clustering Weka Statistics Data mining Machine learning
162	ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification Vineet Chaoji∗ Geng Li† Add to Reading List Source URL: www.cs.rpi.edu Language: English - Date: 2011-02-04 14:33:02 Hierarchical clustering K-means clustering Spectral clustering Medoid Segmentation Clustering high-dimensional data Statistics Cluster analysis DBSCAN
163	Temporal Structure Learning for Clustering Massive Data Streams in Real-Time Add to Reading List Source URL: siam.omnibooksonline.com Language: English - Date: 2011-05-02 11:40:24 Geostatistics Machine learning Data stream clustering BIRCH K-medians clustering OPTICS algorithm DBSCAN Segmentation Consensus clustering Statistics Cluster analysis Data mining
164	Proceedings of the 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD’99), Prague, September 1999. Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 1999-10-05 04:08:52 OPTICS algorithm Multivariate statistics Local outlier factor Cluster analysis Outlier Anomaly detection DBSCAN Hans-Peter Kriegel Reachability Statistics Data mining Data analysis
165	Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust[removed]in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC Add to Reading List Source URL: www.dbs.informatik.uni-muenchen.de Language: English - Date: 2010-08-02 08:30:12 Data mining Geostatistics Hierarchical clustering Single-linkage clustering Correlation clustering DBSCAN OPTICS algorithm Biclustering Consensus clustering Statistics Cluster analysis Machine learning
166	Published in Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96) A Density-Based Algorithm for Discovering Clusters Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2003-10-23 10:47:39 Cluster analysis K-means clustering Hans-Peter Kriegel OPTICS algorithm Hierarchical clustering K-medoids Statistics DBSCAN Data mining
167	PDF Document Add to Reading List Source URL: www.dbs.informatik.uni-muenchen.de Language: English - Date: 2004-04-29 03:43:17 SUBCLU Cluster analysis DBSCAN OPTICS algorithm K-means clustering Hans-Peter Kriegel Clustering high-dimensional data Principal component analysis Clique Statistics Data analysis Multivariate statistics
168	PDF Document Add to Reading List Source URL: eecs.oregonstate.edu Language: English - Date: 2010-06-04 02:02:30 Data mining Geostatistics Hierarchical clustering Single-linkage clustering Correlation clustering DBSCAN OPTICS algorithm Biclustering Consensus clustering Statistics Cluster analysis Machine learning
169	PDF Document Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2008-07-18 10:38:34 Data mining Machine learning ELKI Hans-Peter Kriegel DBSCAN K-means clustering SUBCLU Weka OPTICS algorithm Statistics Cluster analysis Data analysis
170	PDF Document Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2000-03-01 04:16:11 Local outlier factor Multivariate statistics Outlier Cluster analysis Anomaly detection DBSCAN BIRCH Hans-Peter Kriegel LOF Statistics Data mining Data analysis

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