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Clustering high-dimensional data
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#	Item
121	grira-houle-last-icml07-formatted.dvi Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:47 Cluster analysis Medoid K-medoids K-means clustering Centroid Hierarchical clustering K-medians clustering Clustering high-dimensional data Statistics Computational statistics Means
122	Clustering Pair-wise Dissimilarity Data into Partially Ordered Sets Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins Department of Computer Science University of North Carolina, Chapel Hill, NC 27599 {liuj, zha Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2006-06-17 13:24:20 Clique Clustering high-dimensional data K-means clustering Nearest-neighbor chain algorithm Complete-linkage clustering Statistics Cluster analysis Hierarchical clustering
123	Microsoft Word - handbook_v3.doc Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2005-06-24 16:50:44 Statistical classification Cluster analysis Data analysis Association rule learning Clustering high-dimensional data Support vector machine Curse of dimensionality Linear classifier Oracle Data Mining Statistics Machine learning Data mining
124	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
125	Grassmannian Hashing for Subspace searching Xu Wang, †Stefan Atev, ‡John Wright, Gilad Lerman University of Minnesota Add to Reading List Source URL: www.samsi.info Language: English* - Date: 2014-05-19 11:15:42 Search algorithms Nearest neighbor search Grassmannian Locality-sensitive hashing K-nearest neighbor algorithm K-d tree Subspace topology Projection Clustering high-dimensional data Mathematics Geometry Information science
126	Volume[removed]), Number 7 Pacific Graphics 2011 Bing-Yu Chen, Jan Kautz, Tong-Yee Lee, and Ming C. Lin (Guest Editors) Add to Reading List Source URL: cgg.mff.cuni.cz Language: English - Date: 2011-07-26 04:26:06 Data analysis Multivariate statistics Cluster analysis K-means clustering K-means++ Principal component analysis Vector space Clustering high-dimensional data Determining the number of clusters in a data set Statistics Algebra Mathematics
127	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
128	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
129	PDF Document Add to Reading List Source URL: dbs.informatik.uni-halle.de Language: English - Date: 2000-06-06 10:09:34 Data mining Machine learning Image processing K-medoids Medoid Clustering high-dimensional data Nearest neighbor search Segmentation K-medians clustering Statistics Computational statistics Cluster analysis
130	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

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