754 search results - page 26 / 151 » Robust information-theoretic clustering |
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
ACIVS
2008
Springer
15 years 4 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
IJIS
2007
14 years 9 months ago
2007
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must be able to cluster a dataset without using any kind of a priori information, s...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
DAGM
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. An information theoretic framework for grouping observations is proposed. The entropy change incurred by new observations is analyzed using the Kalman filter update equa...