DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection.
Yue HuJin-Xing LiuYing-Lian GaoJunliang ShangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2021)
Keyphrases
- method for feature selection
- principal component analysis
- dimensionality reduction
- feature selection
- tensor decomposition
- random projections
- tensor analysis
- sparse pca
- principal components
- high order
- independent component analysis
- sparse representation
- tensor factorization
- dimension reduction
- sparse data
- low dimensional
- covariance matrix
- linear discriminant analysis
- high dimensional
- higher order
- dictionary learning
- tensor space
- feature extraction
- face images
- sparse coding
- negative matrix factorization
- lower dimensional
- subspace learning
- discriminant analysis
- feature space
- compressive sensing
- tensor field
- machine learning
- auxiliary information
- support vector
- optimization method
- feature set