234 search results - page 1 / 47 » Spectral Clustering with Perturbed Data |
NIPS
2008
13 years 5 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...
CORR
2010
Springer
13 years 4 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...
NIPS
2004
13 years 5 months ago
2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
CHINAF
2007
13 years 4 months ago
2007
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...