Incremental linear discriminant analysis for classification of data streams.
Shaoning PangSeiichi OzawaNikola K. KasabovPublished in: IEEE Trans. Syst. Man Cybern. Part B (2005)
Keyphrases
- linear discriminant analysis
- support vector machine svm
- feature extraction
- discriminant features
- data streams
- small sample size
- discriminant analysis
- dimension reduction
- support vector
- feature space
- fisher criterion
- principal component analysis
- dimensionality reduction
- class discrimination
- face recognition
- class separability
- discriminative information
- principal components analysis
- classification accuracy
- high dimensional data
- pattern recognition
- kernel discriminant analysis
- subspace analysis
- dimensionality reduction methods
- svm classifier
- high dimensionality
- support vector machine
- linear discriminant
- locality preserving projections
- training samples
- model selection
- decision trees
- neural network
- supervised dimensionality reduction
- data sets
- generalized discriminant analysis
- null space
- logistic regression
- subspace methods
- microarray data
- k nearest neighbor
- image classification
- semi supervised
- training set
- machine learning