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CVPR
2008
IEEE
14 years 11 months ago
Constrained spectral clustering through affinity propagation
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
Miguel Á. Carreira-Perpiñán, ...
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
13 years 10 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
14 years 9 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
13 years 7 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
DEXA
2004
Springer
140views Database» more  DEXA 2004»
14 years 2 months ago
Declustering of Trajectories for Indexing of Moving Objects Databases
Efficient storage and retrieval of trajectory indexes has become an essential requirement for moving objects databases. The existing 3DR-tree is known to be an effective trajectory...
Youngduk Seo, Bonghee Hong