High-dimensional inference on covariance structures via the extended cross-data-matrix methodology.
Kazuyoshi YataMakoto AoshimaPublished in: J. Multivar. Anal. (2016)
Keyphrases
- data matrix
- high dimensional
- gene expression data
- original data
- matrix factorization
- missing values
- singular value decomposition
- low rank
- microarray
- low dimensional
- high dimensional data
- nearest neighbor
- nonnegative matrix factorization
- high dimensionality
- gene expression
- barcode
- dimensionality reduction
- covariance matrix
- collaborative filtering
- training set
- input data
- principal component analysis
- denoising
- data points
- rows and columns