376 search results - page 21 / 76 » Clustering with Constrained Similarity Learning |
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...
NIPS
2007
13 years 9 months ago
2007
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
CORR
2004
Springer
13 years 7 months ago
2004
Springer
Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...