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» Robust 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 5 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
CIBCB
2008
IEEE
14 years 16 days ago
An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data
sequence content at an abstract level and offers novel ways to examine the information contained in them. Our approach is an information theoretic search process which uses patter...
Willard Davis, Ananth Kalyanaraman, Diane J. Cook
WAW
2009
Springer
138views Algorithms» more  WAW 2009»
14 years 20 days ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang