Unsupervised feature selection based on variance-covariance subspace distance.
Saeed KaramiFarid Saberi-MovahedPrayag TiwariPekka MarttinenSahar VahdatiPublished in: Neural Networks (2023)
Keyphrases
- unsupervised feature selection
- covariance matrix
- dimensionality reduction
- covariance matrices
- principal component analysis
- data clustering
- feature selection
- low dimensional
- intra class
- high dimensional
- distance measure
- high dimensional data
- feature space
- distance function
- nonnegative matrix factorization
- unsupervised learning
- data matrix
- negative matrix factorization
- sparse representation
- data sets
- training data
- genetic algorithm
- machine learning