Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.
Lin SunTengyu YinWeiping DingYuhua QianJiucheng XuPublished in: IEEE Trans. Fuzzy Syst. (2022)
Keyphrases
- minimum redundancy
- genetic algorithm
- multi label
- rough sets
- feature selection
- text categorization
- fuzzy sets
- fuzzy logic
- text classification
- multilabel classification
- multi label classification
- rough set theory
- membership functions
- multiple labels
- granular computing
- fuzzy rough sets
- image classification
- label space
- fuzzy rules
- dominance relation
- graph cuts
- instance based learning
- rule induction
- approximation spaces
- class labels
- neural network
- high dimensionality
- decision rules
- fuzzy numbers
- knn
- missing values
- data mining
- naive bayes
- machine learning
- support vector machine
- k nearest neighbor
- classification accuracy
- data analysis
- support vector
- feature extraction
- feature set
- dimensionality reduction
- instance selection
- unsupervised learning
- logistic regression
- markov random field
- image features
- expert systems
- pattern recognition