Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization.
Yang FanJianhua DaiSiqi XuPublished in: ICONIP (3) (2019)
Keyphrases
- matrix factorization
- unsupervised feature selection
- data matrix
- nonnegative matrix factorization
- negative matrix factorization
- collaborative filtering
- low rank
- recommender systems
- missing data
- feature selection
- objective function
- data clustering
- factorization methods
- dimensionality reduction
- machine learning
- active learning
- feature space
- matrix completion
- data sets