A Weighted Consensus Function Based on Information-Theoretic Principles to Combine Soft Clusterings.
Yan GaoShiwen GuJianhua LiZhining LiaoPublished 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