Unsupervised Feature Selection Based on Spectral Clustering with Maximum Relevancy and Minimum Redundancy Approach.
Bahareh KhozaeiMahdi EftekhariPublished in: Int. J. Pattern Recognit. Artif. Intell. (2021)
Keyphrases
- spectral clustering
- minimum redundancy
- unsupervised feature selection
- data clustering
- feature selection
- nonnegative matrix factorization
- negative matrix factorization
- k means
- clustering algorithm
- unsupervised learning
- clustering method
- cluster analysis
- pairwise
- normalized cut
- similarity matrix
- computer vision
- dimensionality reduction
- cluster structure
- feature space
- data mining applications
- image segmentation
- pairwise constraints
- gene expression
- data sets
- training data
- machine learning