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COLT
2008
Springer
14 years 11 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
CIC
2003
150views Communications» more  CIC 2003»
14 years 11 months ago
Performance Modeling of a Cluster of Workstations
Using off-the-shelf commodity workstations to build a cluster for parallel computing has become a common practice. In studying or designing a cluster of workstations one should ha...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar
SIGIR
2006
ACM
15 years 3 months ago
Feature diversity in cluster ensembles for robust document clustering
The performance of document clustering systems depends on employing optimal text representations, which are not only difficult to determine beforehand, but also may vary from one ...
Xavier Sevillano, Germán Cobo, Francesc Al&...
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
15 years 10 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
SPIESR
2004
117views Database» more  SPIESR 2004»
14 years 11 months ago
Image database clustering with SVM-based class personalization
To allow efficient browsing of large image collections, we have to provide a summary of its visual content. We present in this paper a robust approach to organize image databases:...
Bertrand Le Saux, Nozha Boujemaa