MRCCA: A novel CCA based method and its application in feature extraction and fusion for matrix data.
Xizhan GaoQuansen SunJing YangPublished in: Appl. Soft Comput. (2018)
Keyphrases
- synthetic data
- input data
- prior knowledge
- test data
- data sets
- feature extraction
- noisy data
- preprocessing
- statistical methods
- correlation analysis
- data analysis
- missing data
- similarity matrix
- data sources
- extracted features
- data points
- feature set
- training data
- information loss
- clustering method
- fusion method
- pattern classification
- dimensionality reduction methods
- original data
- data fusion
- high dimensional data
- least squares
- probability distribution
- classification accuracy
- pairwise
- similarity measure
- image processing