Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria.
Xi'ao MaChunhua JuPublished in: Inf. Sci. (2022)
Keyphrases
- information theoretic
- mutual information
- feature selection
- minimum redundancy
- information theory
- theoretic framework
- jensen shannon divergence
- fuzzy sets
- distributional clustering
- information theoretic measures
- information bottleneck
- text classification
- log likelihood
- entropy measure
- text categorization
- relative entropy
- machine learning
- feature selection algorithms
- minimum description length
- kl divergence
- support vector machine
- multi modality
- similarity measure
- support vector
- feature space
- kullback leibler divergence
- feature set
- bregman divergences
- model selection
- image registration
- feature extraction