419 search results - page 11 / 84 » Spectral Methods for Automatic Multiscale Data Clustering |
ICCV
2009
IEEE
15 years 25 days ago
2009
IEEE
This paper studies automatic segmentation of multiple
motions from tracked feature points through spectral embedding
and clustering of linear subspaces. We show that
the dimensi...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
FLAIRS
2007
13 years 10 months ago
2007
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
PAMI
2011
13 years 2 months ago
2011
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
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 ...