333 search results - page 1 / 67 » B-Matching for Spectral Clustering |
FSKD
2009
Springer
13 years 2 months ago
2009
Springer
Sense Induction is the process of identifying the word sense given its context, often treated as a clustering task. This paper explores the use of spectral cluster method which in...
ICML
2010
IEEE
13 years 3 months ago
2010
IEEE
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
EPIA
2011
Springer
12 years 4 months ago
2011
Springer
This paper introduces an additive fuzzy clustering model for similarity data as oriented towards representation and visualization of activities of research organizations in a hiera...
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...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...