Folded LDA: Extending the Linear Discriminant Analysis Algorithm for Feature Extraction and Data Reduction in Hyperspectral Remote Sensing.
Samson Damilola FabiyiPaul MurrayJaime ZabalzaJinchang RenPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- linear discriminant analysis
- feature extraction
- data reduction
- discriminant analysis
- dimensionality reduction
- face recognition
- null space
- preprocessing
- support vector machine svm
- dimension reduction
- scatter matrix
- fisher criterion
- supervised dimensionality reduction
- qr decomposition
- principal component analysis
- learning algorithm
- generalized discriminant analysis
- high dimensional data
- small sample size
- nonparametric discriminant analysis
- data mining
- subspace methods
- pca lda
- image processing
- data compression
- classification algorithm
- scatter matrices
- feature vectors
- feature space
- high dimensionality
- classification rules
- remote sensing
- pattern recognition
- feature selection
- discriminant vectors
- machine learning
- neural network