Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction.
Marek GrzegorowskiAndrzej JanuszGrzegorz SliwaLukasz MarcinowskiAndrzej SkowronPublished in: IJCRS (2023)
Keyphrases
- rough sets
- dimensionality reduction
- rough set theory
- high dimensional data
- high dimensionality
- decision rules
- fuzzy sets
- data mining
- granular computing
- rough sets theory
- information entropy
- clustering algorithm
- kohonen self organizing maps
- data points
- pattern recognition
- clustering method
- rule induction
- attribute reduction
- tool for data mining
- rough set model
- feature extraction
- data analysis
- principal component analysis
- continuous valued attributes
- soft computing
- feature space
- high dimensional
- k means
- decision table
- uncertainty handling
- knowledge base
- dominance relation
- fuzzy rough sets
- inductive machine learning
- machine learning
- rough fuzzy
- genetic algorithm
- artificial intelligence
- categorical data
- fuzzy clustering
- computational intelligence