Unsupervised discriminant canonical correlation analysis based on spectral clustering.
Sheng WangJianfeng LuXingjian GuBenjamin Asubam WeyoriJing-Yu YangPublished in: Neurocomputing (2016)
Keyphrases
- spectral clustering
- canonical correlation analysis
- normalized cut
- discriminant analysis
- data clustering
- partial least squares
- clustering method
- canonical correlations
- unsupervised learning
- pairwise
- least squares
- k means
- clustering algorithm
- dimensionality reduction methods
- image segmentation
- principal component analysis
- semi supervised
- locality preserving projections
- supervised learning
- dimensionality reduction
- active learning
- feature extraction
- computer vision
- cluster analysis