Two algorithms for orthogonal nonnegative matrix factorization with application to clustering.
Filippo PompiliNicolas GillisPierre-Antoine AbsilFrançois GlineurPublished in: Neurocomputing (2014)
Keyphrases
- nonnegative matrix factorization
- probabilistic latent semantic indexing
- interior point
- nonnegative matrix
- matrix factorization
- least squares
- negative matrix factorization
- data representation
- spectral clustering
- data clustering
- document clustering
- computer vision
- principal component analysis
- learning algorithm
- data mining
- efficient implementation
- cluster analysis
- clustering method
- input data
- data matrix
- high dimensional