A Stream Clustering Algorithm using Information Theoretic Clustering Evaluation Function.
Erhan GokcayPublished in: CLOSER (2018)
Keyphrases
- information theoretic
- evaluation function
- clustering algorithm
- information theory
- information bottleneck
- mutual information
- theoretic framework
- k means
- log likelihood
- jensen shannon divergence
- information theoretic measures
- clustering method
- data clustering
- temporal difference
- two player games
- multi modality
- spectral clustering
- computer chess
- relative entropy
- entropy measure
- cluster analysis
- document clustering
- image registration
- minimum description length
- stream clustering
- shannon entropy
- feature selection
- game tree
- kullback leibler divergence
- image analysis
- pattern recognition
- image processing