Demystifying Information-Theoretic Clustering.
Greg Ver SteegAram GalstyanFei ShaSimon DeDeoPublished in: ICML (2014)
Keyphrases
- information theoretic
- information theory
- information bottleneck
- mutual information
- theoretic framework
- jensen shannon divergence
- multi modality
- entropy measure
- log likelihood
- relative entropy
- distributional clustering
- computational learning theory
- kullback leibler divergence
- information theoretic measures
- minimum description length
- similarity measure
- clustering algorithm
- feature selection
- computer vision