Correlation tests for high-dimensional data using extended cross-data-matrix methodology.
Kazuyoshi YataMakoto AoshimaPublished in: J. Multivar. Anal. (2013)
Keyphrases
- high dimensional data
- data matrix
- missing values
- original data
- low rank
- gene expression data
- nearest neighbor
- high dimensional
- dimensionality reduction
- low dimensional
- high dimensionality
- data sets
- nonnegative matrix factorization
- data analysis
- subspace clustering
- sparse representation
- singular value decomposition
- data points
- input data
- manifold learning
- matrix factorization
- principal component analysis
- negative matrix factorization
- kernel matrix
- rows and columns
- data mining
- pairwise
- feature extraction
- face recognition
- computer vision
- learning algorithm
- clustering high dimensional data