NIMFA: A Python Library for Nonnegative Matrix Factorization.
Marinka ZitnikBlaz ZupanPublished in: CoRR (2018)
Keyphrases
- nonnegative matrix factorization
- probabilistic latent semantic indexing
- negative matrix factorization
- data representation
- matrix factorization
- active set
- least squares
- spectral clustering
- nonnegative matrix
- document clustering
- principal component analysis
- objective function
- machine learning
- data sets
- sparsity constraints
- dimensionality reduction
- knowledge discovery
- active learning
- digital libraries
- computer vision