K-means clustering - PDFSEARCH.IO - Document Search Engine

K-means clustering
Results: 985

#	Item
871	To appear in HCOMP, 2012 Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach Jinfeng Yi† , Rong Jin† , Anil K. Jain† , Shaili Jain∗ † Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2012-05-18 08:38:40 Data analysis Data mining Geostatistics Spectral clustering Non-negative matrix factorization K-means clustering Matrix Consensus clustering Fuzzy clustering Statistics Multivariate statistics Cluster analysis
872	Approximate Kernel k-means: Solution to Large Scale Kernel Clustering Radha Chitta [removed] Rong Jin Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2011-05-22 09:57:22 Cluster analysis K-means clustering Spectral clustering Non-negative matrix factorization BIRCH Determining the number of clusters in a data set Data stream clustering Statistics Multivariate statistics Data analysis
873	NBER WORKING PAPER SERIES A CLUSTER-GRID PROJECTION METHOD: SOLVING PROBLEMS WITH HIGH DIMENSIONALITY Kenneth L. Judd Lilia Maliar Add to Reading List Source URL: stanford.edu Language: English - Date: 2010-08-27 18:08:38 Numerical analysis Data analysis Multivariate statistics Cluster analysis Numerical integration Ergodic theory K-means clustering Monte Carlo method Gauss–Hermite quadrature Statistics Applied mathematics Probability and statistics
874	Package ‘e1071’ March 17, 2014 Version[removed]Date[removed]Title Misc Functions of the Department of Statistics (e1071), TU Wien Imports graphics, grDevices, class Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-03-17 07:12:10 Data mining Geostatistics K-means clustering Single-linkage clustering Fuzzy clustering Hierarchical clustering Bootstrapping Consensus clustering Determining the number of clusters in a data set Statistics Data analysis Cluster analysis
875	Microsoft Word - ijita13-4.doc Add to Reading List Source URL: artint.com.ua Language: English - Date: 2012-12-06 19:29:07 Data analysis Data mining Geostatistics Genetic algorithm K-means clustering Fuzzy clustering Determining the number of clusters in a data set Statistics Cluster analysis Multivariate statistics
876	Large Scale Learning and Recognition of Faces in Web Videos Ming Zhao, Jay Yagnik, Hartwig Adam, David Bau Google Inc. {mingzhao,jyagnik,hadam,davidbau}@google.com Abstract Add to Reading List Source URL: www.zhaoming.name Language: English - Date: 2008-07-17 17:29:01 Face recognition Face detection Cluster analysis Facial recognition system Gesture recognition Facial motion capture K-means clustering Information retrieval Object recognition Computer vision Statistics Artificial intelligence
877	Tour the World: building a web-scale landmark recognition engine Yan-Tao Zheng1 , Ming Zhao2 , Yang Song2 , Hartwig Adam2 Ulrich Buddemeier2 , Alessandro Bissacco2 , Fernando Brucher2 Tat-Seng Chua1 , and Hartmut Neven2 Add to Reading List Source URL: www.zhaoming.name Language: English - Date: 2009-05-01 14:30:01 Cluster analysis Data analysis Data mining Geostatistics Hierarchical clustering K-means clustering Object recognition Landmark Computer cluster Statistics Computing Computer vision
878	COMBINING METADATA AND CONTEXT INFORMATION IN ANNOTATING PERSONAL MEDIA Ming Zhao1 , Tat-Seng Chua1 , Ramesh Jain2 1 Department of Computer Science, National University of Singapore Add to Reading List Source URL: www.zhaoming.name Language: English - Date: 2008-12-03 12:09:20 Optics Facial recognition system Hierarchical clustering Face detection Gesture recognition Face Segmentation K-means clustering Cluster analysis Face recognition Artificial intelligence Vision
879	COMBINING METADATA AND CONTEXT INFORMATION IN ANNOTATING PERSONAL MEDIA Ming Zhao1 , Tat-Seng Chua1 , Ramesh Jain2 1 Department of Computer Science, National University of Singapore Add to Reading List Source URL: www.mingzhao.name Language: English - Date: 2009-04-24 01:57:41 Optics Facial recognition system Hierarchical clustering Face detection Gesture recognition Face Segmentation K-means clustering Cluster analysis Face recognition Artificial intelligence Vision
880	Tour the World: building a web-scale landmark recognition engine Yan-Tao Zheng1 , Ming Zhao2 , Yang Song2 , Hartwig Adam2 Ulrich Buddemeier2 , Alessandro Bissacco2 , Fernando Brucher2 Tat-Seng Chua1 , and Hartmut Neven2 Add to Reading List Source URL: mingzhao.name Language: English - Date: 2009-05-01 14:32:25 Cluster analysis Data analysis Data mining Geostatistics Hierarchical clustering K-means clustering Object recognition Landmark Computer cluster Statistics Computing Computer vision

UPDATE