Maximum relevance minimum redundancy-based feature selection using rough mutual information in adaptive neighborhood rough sets.
Kanglin QuJiucheng XuZiqin HanShihui XuPublished in: Appl. Intell. (2023)
Keyphrases
- minimum redundancy
- rough sets
- mutual information
- feature selection
- adaptive neighborhood
- mathematical morphology
- rough set theory
- decision rules
- image restoration
- information gain
- rough fuzzy
- fuzzy sets
- data mining
- feature set
- feature space
- granular computing
- rough sets theory
- data analysis
- attribute reduction
- continuous valued attributes
- classification accuracy
- machine learning
- information entropy
- support vector machine
- soft computing
- feature extraction
- text categorization
- fuzzy rough sets
- high dimensionality
- pattern recognition
- feature reduction
- feature subset
- microarray data
- rough set model
- binary images
- concept lattice
- decision table
- upper approximation
- image analysis
- image processing
- set theory
- neural network
- rough approximations
- uncertainty handling
- dominance relation
- rule extraction
- gene expression data
- information processing
- knn
- high resolution
- multiscale
- image segmentation
- artificial intelligence
- real world