Double feature selection algorithm based on low-rank sparse non-negative matrix factorization.
Ronghua ShangJiuzheng SongLicheng JiaoYangyang LiPublished in: Int. J. Mach. Learn. Cybern. (2020)
Keyphrases
- matrix factorization
- low rank
- sparse non negative
- feature selection
- collaborative filtering
- missing data
- recommender systems
- low rank matrix
- factorization methods
- nonnegative matrix factorization
- feature subset
- matrix completion
- data matrix
- negative matrix factorization
- feature set
- tensor factorization
- feature extraction
- binary matrix
- support vector
- small number
- data sets