Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data.
Zhiming XiaYang ChenChen XuPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- dimension reduction
- feature extraction
- high order
- principal component analysis
- high dimensional data
- data sets
- data analysis
- dimensionality reduction
- neural network
- image data
- data points
- training data
- low order
- data sources
- original data
- feature vectors
- dimensionality reduction methods
- manifold learning
- face recognition
- low dimensional
- data mining techniques
- preprocessing
- feature space
- pairwise
- high dimensional
- input data
- clustering method
- image processing
- singular value decomposition
- feature selection
- principal components
- knowledge discovery
- principle component analysis
- feature subspace
- dimension reduction methods