403 search results - page 10 / 81 » Bayesian Cluster Ensembles. |
85
Voted
ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
123
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MCS
2004
Springer
15 years 6 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...
126
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ICAI
2004
15 years 2 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
121
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KDD
2003
ACM
16 years 1 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
112
Voted
TIP
2010
14 years 11 months ago
2010
—Many registration scenarios involve aligning more than just two images. These image sets—called ensembles—are conventionally registered by choosing one image as a template, ...