Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets.
Miaomiao HuangLin SunJiucheng XuShiguang ZhangPublished in: IEEE Access (2020)
Keyphrases
- minimum redundancy
- rough sets
- multi label
- feature selection
- text categorization
- text classification
- multilabel classification
- rough set theory
- fuzzy sets
- decision rules
- rule induction
- graph cuts
- instance based learning
- image classification
- classification accuracy
- pattern recognition
- feature space
- granular computing
- support vector
- rough sets theory
- machine learning
- knn
- feature extraction
- fuzzy logic
- data analysis
- feature set
- naive bayes
- data mining
- class labels
- k nearest neighbor
- high dimensionality
- feature subset
- decision table
- image processing
- neural network
- real world
- support vector machine