Distributed geometric nonnegative matrix factorization and hierarchical alternating least squares-based nonnegative tensor factorization with the MapReduce paradigm.
Rafal ZdunekKrzysztof FonalPublished in: Concurr. Comput. Pract. Exp. (2018)
Keyphrases
- nonnegative matrix factorization
- tensor factorization
- negative matrix factorization
- matrix factorization
- spectral clustering
- least squares
- principal component analysis
- data representation
- document clustering
- low rank approximation
- collaborative filtering
- sparse representation
- machine learning
- image classification
- relevance feedback
- objective function
- similarity measure