A Weighted Consensus Function Based on Information-Theoretic Principles to Combine Soft Clusterings.

Yan Gao Shiwen Gu Jianhua Li Zhining Liao

Published in: GrC (2007)

Keyphrases

information theoretic
mutual information
information theory
information bottleneck
theoretic framework
log likelihood
information theoretic measures

jensen shannon divergence
consensus clustering
cluster ensemble
entropy measure
computational learning theory
combining multiple
k means

computer vision
clustering algorithm
data clustering
kl divergence
density function
similarity measure

expectation maximization
kullback leibler divergence
relative entropy
image registration
weight matrix
rough sets