Incorporating linear discriminant analysis in neural tree for multidimensional splitting.
Asha RaniSanjeev KumarChristian MicheloniGian Luca ForestiPublished in: Appl. Soft Comput. (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- discriminant features
- dimension reduction
- null space
- support vector
- support vector machine svm
- small sample size
- feature extraction
- feature space
- high dimensional data
- neural network
- fisher criterion
- principal components analysis
- subspace methods
- linear discriminant
- data mining
- multivariate statistical
- generalized discriminant analysis
- kernel pca
- class separability
- qr decomposition
- dealing with high dimensional data
- independent component analysis
- knn
- training data
- locality preserving projections
- scatter matrices
- data sets