Subspace learning for unsupervised feature selection via matrix factorization.
Shiping WangWitold PedryczQingxin ZhuWilliam ZhuPublished in: Pattern Recognit. (2015)
Keyphrases
- subspace learning
- matrix factorization
- unsupervised feature selection
- data matrix
- dimensionality reduction
- negative matrix factorization
- nonnegative matrix factorization
- collaborative filtering
- low rank
- manifold learning
- feature selection
- recommender systems
- data representation
- principal component analysis
- sparse representation
- missing data
- high dimensional data
- data clustering
- learning algorithm
- face recognition
- high dimensional
- low dimensional
- semi supervised
- feature extraction
- sparse coding
- linear discriminant analysis
- dimension reduction
- pattern recognition
- text classification
- high dimensionality
- data points
- missing values
- data sets
- computer vision