Restoring latent factors against negative transfer using partial-adaptation nonnegative matrix factorization.
Ming HeJiuling ZhangJiang ZhangPublished in: CCF Trans. Pervasive Comput. Interact. (2020)
Keyphrases
- nonnegative matrix factorization
- latent factors
- matrix factorization
- tensor factorization
- negative matrix factorization
- data representation
- least squares
- factorization methods
- collaborative filtering
- principal component analysis
- spectral clustering
- document clustering
- low rank
- data analysis
- factor analysis
- objective function
- data mining
- original data
- co occurrence
- semi supervised
- pattern recognition
- feature extraction
- image processing
- machine learning