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125
Voted
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
134
Voted
COLT
2003
Springer
15 years 8 months ago
2003
Springer
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
120
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ICDM
2003
IEEE
15 years 8 months ago
2003
IEEE
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
146
Voted
MCS
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
125
Voted
COLT
2005
Springer
15 years 9 months ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...