Embedded clustering via robust orthogonal least square discriminant analysis.
Rui ZhangFeiping NieXuelong LiPublished in: ICASSP (2017)
Keyphrases
- discriminant analysis
- least squares
- cluster analysis
- discriminant vectors
- linear discriminant analysis
- discriminant projection
- face recognition
- class separability
- feature extraction
- discriminant subspace
- principal component analysis
- clustering algorithm
- k means
- clustering method
- graph embedding
- dimensionality reduction methods
- data sets
- fisher linear discriminant analysis
- unsupervised learning
- partial least squares
- fisher discriminant analysis
- spectral clustering
- knowledge discovery
- multi class
- semi supervised
- fisher criterion
- generalized linear
- kernel discriminant analysis
- data analysis
- high dimensional data
- nearest neighbor