A Novel Projective Nonnegative Matrix Factorization Based on Fisher Discriminant Analysis.
Zixin LianWen-Sheng ChenBinbin PanPublished in: CIS (2021)
Keyphrases
- nonnegative matrix factorization
- fisher discriminant analysis
- principal component analysis
- discriminant analysis
- factor analysis
- matrix factorization
- negative matrix factorization
- multiple kernel learning
- data representation
- least squares
- dimensionality reduction
- feature extraction
- spectral clustering
- linear discriminant analysis
- face recognition
- objective function
- unsupervised learning
- low dimensional
- kernel pca
- document clustering
- document collections
- knn
- recommender systems
- pairwise
- machine learning