387 search results - page 27 / 78 » Beyond Pairwise Clustering |
SOCO
2008
Springer
13 years 7 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
TKDE
2008
13 years 7 months ago
2008
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
CLA
2004
13 years 8 months ago
2004
An important problem in applications of formal concept analysis is a possibly large number of clusters extracted from data. Factorization is one of the methods being used to cope w...
NIPS
2004
13 years 8 months ago
2004
Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...