22 search results - page 1 / 5 » A survey of kernel and spectral methods for clustering |
PR
2008
13 years 4 months ago
2008
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
PAMI
2010
13 years 3 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...