136 search results - page 7 / 28 » Multiclass spectral clustering based on discriminant analysi... |
KDD
2007
ACM
14 years 11 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
KDD
2009
ACM
14 years 11 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
ICONIP
2008
14 years 7 days ago
2008
In this paper we present a comparison of multiple cluster algorithms and their suitability for clustering text data. The clustering is based on similarities only, employing the Kol...
ICASSP
2009
IEEE
14 years 5 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...
AIPRF
2008
14 years 8 days ago
2008
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...