80 search results - page 1 / 16 » Spectral clustering based on matrix perturbation theory |
CHINAF
2007
13 years 11 months ago
2007
NIPS
2008
14 years 10 days 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 11 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...
SIGPRO
2010
13 years 9 months ago
2010
The recovery of signal parameters from noisy sampled data is a fundamental problem in digital signal processing. In this paper, we consider the following spectral analysis problem...
NIPS
2004
14 years 8 days 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...