An Information-theoretic Perspective of Hierarchical Clustering.
Yicheng PanFeng ZhengBingchen FanPublished in: CoRR (2021)
Keyphrases
- information theoretic
- hierarchical clustering
- mutual information
- information theory
- theoretic framework
- clustering method
- information bottleneck
- information theoretic measures
- jensen shannon divergence
- incremental clustering
- hierarchical clustering algorithm
- single linkage
- k means
- minimum description length
- entropy measure
- partitional clustering
- clustering algorithm
- kullback leibler divergence
- relative entropy
- log likelihood
- hierarchical clustering methods
- model based clustering
- data clustering
- similarity measure
- hierarchical clustering algorithms
- feature selection