Perturbation theory for cross data matrix-based PCA.
Shao-Hsuan WangSu-Yun HuangPublished in: J. Multivar. Anal. (2022)
Keyphrases
- data matrix
- perturbation theory
- singular value decomposition
- principal component analysis
- principal components
- nonnegative matrix factorization
- matrix factorization
- low rank
- gene expression data
- missing values
- original data
- negative matrix factorization
- dimensionality reduction
- barcode
- rows and columns
- maximal cliques
- covariance matrix
- low dimensional
- feature extraction
- singular values
- least squares
- feature space
- high dimensional
- data sets
- high dimensional data
- image restoration
- collaborative filtering
- missing data
- higher order