Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering.
Chao SunYun-Hao YuanYun LiJipeng QiangYi ZhuXiaobo ShenPublished in: ICONIP (2) (2021)
Keyphrases
- multi view
- subspace clustering
- canonical correlation analysis
- high dimensional data
- clustering method
- least squares
- clustering algorithm
- high dimensional
- three dimensional
- multiple views
- d objects
- partial least squares
- semi supervised
- linear subspace
- similarity measure
- dimensionality reduction methods
- text categorization
- dimension reduction
- high dimensionality
- linear discriminant analysis
- cluster analysis
- neural network
- input data
- low dimensional
- nearest neighbor
- feature selection