Information-theoretic feature selection with discrete k-median clustering.
Onur SerefYa-Ju FanElan BorensteinWanpracha Art ChaovalitwongsePublished in: Ann. Oper. Res. (2018)
Keyphrases
- information theoretic
- mutual information
- feature selection
- information theory
- information bottleneck
- theoretic framework
- distributional clustering
- information theoretic measures
- jensen shannon divergence
- kullback leibler divergence
- text categorization
- entropy measure
- log likelihood
- multi modality
- machine learning
- clustering algorithm
- unsupervised learning
- similarity measure
- feature extraction
- computer vision
- kl divergence
- selection criterion
- multi class
- median filter
- feature selection algorithms
- model selection
- feature vectors
- image registration