An Empirical Study of the Effects of Principal Component Analysis on Symbolic Classifiers.
Huimin ZhaoAtish P. SinhaSudha RamPublished in: AMCIS (2008)
Keyphrases
- principal component analysis
- neural classifier
- decision trees
- principal components
- dimensionality reduction
- training data
- symbolic data
- linear classifiers
- feature extraction
- support vector
- independent component analysis
- linear discriminant analysis
- test set
- svm classifier
- subspace methods
- covariance matrix
- high level
- face recognition
- machine learning
- machine learning algorithms
- feature selection
- feature reduction
- multiple classifiers
- individual classifiers
- classifier combination
- ensemble classifier
- symbolic representation
- classification systems
- supervised classification
- dimension reduction
- face images
- low dimensional
- classification models
- data streams
- training set
- neural network
- training examples