An Empirical Comparison of Dimensionality Reduction Techniques for Pattern Classification.
Thiagarajan BalachanderRavi KothariHernani CualingPublished in: ICANN (1997)
Keyphrases
- pattern classification
- dimensionality reduction
- feature extraction
- linear dimensionality reduction
- pattern recognition
- data representation
- high dimensional data
- high dimensional
- high dimensionality
- principal component analysis
- dimensionality reduction methods
- nearest neighbor rule
- pattern classification problems
- radial basis function neural network
- linear discriminant analysis
- metric learning
- low dimensional
- fuzzy classifier
- probabilistic neural network
- vowel recognition
- principal components
- manifold learning
- image processing
- neural network
- feature selection
- face recognition
- parzen window
- graph embedding
- feature space
- subspace learning
- dimension reduction
- multiscale
- artificial neural networks
- kernel trick
- image classification
- decision boundary
- mass spectrometry data