Unsupervised feature selection for principal components analysis.
Christos BoutsidisMichael W. MahoneyPetros DrineasPublished in: KDD (2008)
Keyphrases
- principal components analysis
- unsupervised feature selection
- dimensionality reduction
- feature selection
- data clustering
- covariance matrix
- linear discriminant analysis
- principal components
- multivariate statistical analysis
- support vector machine
- principal component analysis
- pattern recognition
- feature extraction
- low dimensional
- data representation
- nonnegative matrix factorization
- high dimensional data
- sample size
- worst case
- spectral clustering
- evolutionary algorithm
- data mining applications
- data matrix
- support vector