Dimensionality reduction using genetic algorithms.
Michael L. RaymerWilliam F. Punch IIIErik D. GoodmanLeslie A. KuhnAnil K. JainPublished in: IEEE Trans. Evol. Comput. (2000)
Keyphrases
- dimensionality reduction
- high dimensional data
- principal component analysis
- high dimensional
- pattern recognition
- data representation
- genetic algorithm
- high dimensionality
- manifold learning
- low dimensional
- data points
- random projections
- linear discriminant analysis
- feature selection
- structure preserving
- input space
- feature extraction
- diffusion maps
- lower dimensional
- pattern recognition and machine learning
- feature space
- dimensionality reduction methods
- nonlinear dimensionality reduction
- singular value decomposition
- preprocessing step
- linear dimensionality reduction
- euclidean distance
- principal components
- neural network
- image processing
- artificial intelligence
- data mining
- multi class
- intrinsic dimensionality
- data structure