Graph-based sparse linear discriminant analysis for high-dimensional classification.
Jianyu LiuGuan YuYufeng LiuPublished in: J. Multivar. Anal. (2019)
Keyphrases
- linear discriminant analysis
- small sample size
- high dimensional
- dimensionality reduction
- dimension reduction
- feature space
- high dimensionality
- high dimensional data
- discriminant analysis
- support vector machine svm
- discriminant features
- feature extraction
- discriminative information
- class separability
- support vector
- face recognition
- class discrimination
- principal component analysis
- low dimensional
- null space
- fisher criterion
- supervised dimensionality reduction
- sample size
- microarray data
- kernel principal component analysis
- data points
- random projections
- subspace analysis
- feature vectors
- image classification
- support vector machine
- sparse coding
- lower dimensional
- feature selection
- data sets
- pca lda
- subspace methods
- dimensionality reduction methods
- pattern recognition
- input space
- svm classifier
- scatter matrix
- decision trees
- machine learning