Unsupervised Feature Selection via Metric Fusion and Novel Low-Rank Approximation.
Yin LongLiang ChenLinfeng LiRong ShiPublished in: IEEE Access (2022)
Keyphrases
- unsupervised feature selection
- low rank approximation
- nonnegative matrix factorization
- singular value decomposition
- data matrix
- data clustering
- low rank
- feature selection
- spectral clustering
- metric learning
- kernel matrix
- dimensionality reduction
- negative matrix factorization
- matrix factorization
- latent semantic indexing
- convex optimization
- euclidean distance
- distance function
- machine learning