A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective.
Chenhang CuiYazhou RenJingyu PuJiawei LiXiaorong PuTianyi WuYutao ShiLifang HePublished in: CoRR (2023)
Keyphrases
- information theoretic
- information theory
- mutual information
- theoretic framework
- multi view clustering
- information bottleneck
- jensen shannon divergence
- multi modality
- minimum description length
- information theoretic measures
- kullback leibler divergence
- jensen shannon
- log likelihood
- computer vision
- entropy measure
- computational learning theory
- relative entropy
- viewpoint