Orthogonal Non-negative Matrix Factorization: a Maximum-Entropy-Principle Approach.
Salar BasiriMustafa KapadiaSrinivasa M. SalapakaPublished in: CoRR (2022)
Keyphrases
- negative matrix factorization
- maximum entropy principle
- maximum entropy
- generative model
- nonnegative matrix factorization
- sparse representation
- matrix factorization
- principal component analysis
- document clustering
- constrained least squares
- pattern recognition
- spectral clustering
- tensor factorization
- latent semantic space
- data sets
- high dimensional data
- image representation
- clustering algorithm
- feature selection
- computer vision