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» Finding Metric Structure in Information Theoretic Clustering
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COLT
2008
Springer
13 years 7 months ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor
JUCS
2002
131views more  JUCS 2002»
13 years 4 months ago
Finding Median Partitions Using Information-Theoretical-Based Genetic Algorithms
: In a database with categorical attributes, each attribute defines a partition whose classes can be regarded as natural clusters of rows. In this paper we focus on finding a parti...
Dana Cristofor, Dan A. Simovici
CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 5 months ago
An Information-Theoretical View of Network-Aware Malware Attacks
This work investigates three aspects: (a) a network vulnerability as the non-uniform vulnerable-host distribution, (b) threats, i.e., intelligent malwares that exploit such a vulne...
Zesheng Chen, Chuanyi Ji
CIARP
2008
Springer
13 years 7 months ago
Cluster Stability Assessment Based on Theoretic Information Measures
Abstract. Cluster validation to determine the right number of clusters is an important issue in clustering processes. In this work, a strategy to address the problem of cluster val...
Damaris Pascual, Filiberto Pla, José Salvad...
PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
13 years 3 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...