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» k-Means Projective Clustering
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164
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CVPR
2012
IEEE
13 years 5 months ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox
GFKL
2005
Springer
101views Data Mining» more  GFKL 2005»
15 years 9 months ago
Discovering Communities in Linked Data by Multi-view Clustering
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...
Isabel Drost, Steffen Bickel, Tobias Scheffer
302
Voted
ICASSP
2011
IEEE
15 years 24 days ago
Non-flat clustering whith alpha-divergences
The scope of the well-known k-means algorithm has been broadly extended with some recent results: first, the k- means++ initialization method gives some approximation guarantees...
Olivier Schwander, Frank Nielsen
212
Voted
ICDE
2005
IEEE
140views Database» more  ICDE 2005»
16 years 4 months ago
On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering
Kevin Y. Yip, David W. Cheung, Michael K. Ng
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 6 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...