Spectral clustering and discriminant analysis for unsupervised feature selection.
Xiucai YeKaiyang JiTetsuya SakuraiPublished in: ESANN (2016)
Keyphrases
- discriminant analysis
- unsupervised feature selection
- spectral clustering
- data clustering
- cluster analysis
- nonnegative matrix factorization
- face recognition
- k means
- linear discriminant analysis
- negative matrix factorization
- clustering algorithm
- clustering method
- feature extraction
- principal component analysis
- unsupervised learning
- pairwise constraints
- pairwise
- feature selection
- pattern recognition
- similarity matrix
- kernel pca
- dimensionality reduction
- data mining
- image classification
- reinforcement learning
- learning algorithm