Clustering algorithm using rough set theory for unsupervised feature selection.
Fannia PachecoMariela CerradaRené-Vinicio SánchezDiego CabreraChuan LiJosé Valente de OliveiraPublished in: IJCNN (2016)
Keyphrases
- rough set theory
- unsupervised feature selection
- clustering algorithm
- data clustering
- rough sets
- attribute reduction
- k means
- decision rules
- feature selection
- data reduction
- decision table
- cluster analysis
- cluster structure
- spectral clustering
- knowledge discovery
- fuzzy c means
- clustering method
- fuzzy clustering
- document clustering
- data analysis
- equivalence relation
- information entropy
- data matrix
- dimensionality reduction
- pattern recognition
- attribute set
- data sets
- nonnegative matrix factorization
- negative matrix factorization
- signal processing
- fuzzy sets
- data mining
- neural network