Feature Selection Based on the Neighborhood Entropy.
Andrea MarielloRoberto BattitiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- feature selection
- mutual information
- information gain
- information theory
- information theoretic
- text categorization
- support vector
- feature selection algorithms
- minimal spanning tree
- conditional mutual information
- information entropy
- neural network
- feature extraction
- irrelevant features
- unsupervised learning
- dimensionality reduction
- feature weighting
- classification accuracy
- feature set
- text classification
- model selection
- microarray data
- microarray classification
- method for feature selection
- feature space
- selected features
- multi class
- support vector machine
- small sample
- neighborhood structure
- relative entropy
- similarity measure
- redundant features
- discriminative features
- multi task
- naive bayes
- knn
- high dimensionality