Wasserstein Embeddings for Nonnegative Matrix Factorization.
Mickael FebrissyMohamed NadifPublished in: LOD (1) (2020)
Keyphrases
- nonnegative matrix factorization
- negative matrix factorization
- probabilistic latent semantic indexing
- data representation
- matrix factorization
- principal component analysis
- low dimensional
- active set
- least squares
- dimensionality reduction
- nonnegative matrix
- document clustering
- spectral clustering
- original data
- sparsity constraints
- high dimensional data
- factor matrices
- active learning
- data mining
- data sets