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