Information theoretic clustering via divergence maximization among clusters.
Sahil GargMina DalirrooyfardAnderson SchneiderYeshaya AdlerYuriy NevmyvakaYu ChenFengpei LiGuillermo A. CecchiPublished in: UAI (2023)
Keyphrases
- information theoretic
- jensen shannon divergence
- relative entropy
- clustering algorithm
- information theory
- mutual information
- information bottleneck
- kl divergence
- theoretic framework
- hierarchical clustering
- jensen shannon
- information theoretic measures
- data points
- cluster analysis
- document clustering
- data clustering
- fuzzy clustering
- information geometry
- objective function
- minimum description length
- distributional clustering
- kullback leibler divergence
- log likelihood
- self organizing maps
- graph clustering
- bregman divergences
- entropy measure
- clustering method
- image processing
- fuzzy c means
- image segmentation
- shannon entropy
- mixture model
- maximum likelihood