Laplacian Linear Discriminant Analysis Approach to Unsupervised Feature Selection.
Satoshi NiijimaYasushi OkunoPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2009)
Keyphrases
- unsupervised feature selection
- linear discriminant analysis
- dealing with high dimensional data
- dimensionality reduction
- discriminant analysis
- feature selection
- data clustering
- principal component analysis
- face recognition
- feature space
- support vector machine svm
- support vector
- feature extraction
- high dimensional data
- dimension reduction
- high dimensional
- pattern recognition
- low dimensional
- least squares
- sparse coding
- principal components
- feature subset