scPCA: A toolbox for sparse contrastive principal component analysis in R.
Philippe BoileauNima S. HejaziSandrine DudoitPublished in: J. Open Source Softw. (2020)
Keyphrases
- principal component analysis
- principal components
- random projections
- sparse pca
- dimensionality reduction
- independent component analysis
- compressive sensing
- high dimensional
- sparse representation
- face recognition
- dimension reduction
- singular value decomposition
- feature space
- covariance matrix
- sparse data
- lower dimensional
- discriminant analysis
- linear discriminant analysis
- low dimensional
- face images
- neural classifier
- signal recovery
- neural network
- machine learning
- video sequences
- negative matrix factorization
- compressed sensing
- training procedure
- multiscale
- feature extraction
- dimension reduction methods