Clustering high-dimensional data - PDFSEARCH.IO - Document Search Engine

Clustering high-dimensional data
Results: 132

#	Item
101	Clustering: Science or Art? Ulrike von Luxburg [removed] Max Planck Institute for Intelligent Systems, T¨ ubingen, Germany Robert C. Williamson Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-09 18:47:45 Data mining Geostatistics Hierarchical clustering K-means clustering Consensus clustering Unsupervised learning Clustering high-dimensional data Statistics Cluster analysis Machine learning
102	Ann Inst Stat Math[removed]:335–357 DOI[removed]s10463[removed]Strong consistency of factorial K-means clustering Yoshikazu Terada Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:54 K-means clustering Clustering high-dimensional data Statistics Cluster analysis Computational statistics
103	Compensation of Translational Displacement in Time Series Clustering using Cross Correlation Frank H¨oppner1 and Frank Klawonn23 1 Department of Economics Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2010-06-09 06:22:14 K-means clustering Correlation clustering Correlation and dependence Consensus clustering Clustering high-dimensional data Statistics Cluster analysis Fuzzy clustering
104	Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration William W. Cohen Jacob Richman Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2002-10-30 10:44:17 Data mining Geostatistics Machine learning Canopy clustering algorithm Consensus clustering Statistics Cluster analysis Data analysis
105	Evaluating Clustering in Subspace Projections of High Dimensional Data • • Emmanuel Muller Stephan Gunnemann Add to Reading List Source URL: www.vldb.org Language: English - Date: 2009-07-27 10:29:02 Data analysis Multivariate statistics Data mining SUBCLU DBSCAN K-means clustering Clustering high-dimensional data Unsupervised learning Correlation clustering Statistics Cluster analysis Machine learning
106	In Proc. SIAM Int. Conf. on Data Mining (SDM), Minneapolis, MN, 2007 Robust, Complete, and Eﬃcient Correlation Clustering∗ Elke Achtert, Christian B¨ohm, Hans-Peter Kriegel, Peer Kr¨oger, Arthur Zimek Department I Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2007-06-14 08:04:28 Data analysis Data mining Geostatistics DBSCAN Correlation clustering Principal component analysis K-means clustering Correlation and dependence Clustering high-dimensional data Statistics Multivariate statistics Cluster analysis
107	Network Intrusion Detection using a Secure Ranking of Hidden Outliers Marwan Hassani and Thomas Seidl Data Management and Data Exploration Group RWTH Aachen University, Germany {hassani, seidl}@cs.rwth-aachen.de Add to Reading List Source URL: dme.rwth-aachen.de Language: English - Date: 2015-02-10 13:03:28 Cluster analysis Geostatistics Machine learning Anomaly detection SUBCLU Outlier Intrusion detection system Clustering high-dimensional data Local outlier factor Statistics Data mining Data analysis
108	Detecting Clusters in Moderate-to-High Dimensional Data: Subspace Clustering, Pattern-based Clustering, and Correlation Clustering Hans-Peter Kriegel Peer Kroger Add to Reading List Source URL: www.vldb.org Language: English - Date: 2008-10-23 08:00:13 Clustering high-dimensional data Biclustering Dimension reduction Data mining Feature selection Consensus clustering Statistics Cluster analysis Correlation clustering
109	Subspace Clustering, Ensemble Clustering, Alternative Clustering, Multiview Clustering: What Can We Learn From Each Other? Hans-Peter Kriegel Arthur Zimek Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-02 08:28:50 Machine learning Consensus clustering Multivariate statistics Constrained clustering Data mining Correlation clustering Unsupervised learning Hans-Peter Kriegel Clustering high-dimensional data Statistics Cluster analysis Data analysis
110	ASCLU -- Alternative Subspace Clustering Add to Reading List Source URL: eecs.oregonstate.edu Language: English - Date: 2010-09-10 15:10:01 Statistics Cluster analysis Clustering high-dimensional data

UPDATE