1167 search results - page 12 / 234 » Limits of Spectral Clustering |
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
BMCBI
2005
13 years 7 months ago
2005
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
In this paper we formulate spectral clustering in directed graphs as an optimization problem, the objective being a weighted cut in the directed graph. This objective extends seve...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
