1105 search results - page 2 / 221 » Approximate Spectral Clustering. |
ICMLA
2008
13 years 6 months ago
2008
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
PAMI
2011
12 years 11 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...
UAI
2003
13 years 6 months ago
2003
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
NIPS
2008
13 years 6 months ago
2008
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...