Feature selection based on maximal neighborhood discernibility.
Changzhong WangQiang HeMingwen ShaoQinghua HuPublished in: Int. J. Mach. Learn. Cybern. (2018)
Keyphrases
- feature selection
- text categorization
- rough sets
- text classification
- feature set
- rough set theory
- machine learning
- high dimensionality
- feature ranking
- selected features
- information gain
- feature selection algorithms
- feature space
- support vector
- model selection
- decision table
- small sample
- multi task
- irrelevant features
- unsupervised feature selection
- naive bayes
- feature subset
- dimensionality reduction
- multi class
- classification accuracy
- feature extraction
- data sets
- text mining
- gene selection
- support vector machine
- attribute reduction
- high dimensional
- neighborhood structure
- discernibility matrix
- face recognition
- redundant features
- support vector classification