D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data.
Hai ShuZhe QuHongtu ZhuPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- multi view
- high dimensional data
- canonical correlation analysis
- dimensionality reduction
- dimensionality reduction methods
- low dimensional
- high dimensional
- nearest neighbor
- dimension reduction
- partial least squares
- data sets
- subspace clustering
- three dimensional
- high dimensionality
- d objects
- data points
- data analysis
- least squares
- semi supervised
- sparse representation
- variable selection
- subspace learning
- similarity search
- data distribution
- manifold learning
- small sample size
- linear discriminant analysis
- input data
- principal component analysis
- knn
- training set
- data mining