A genetic approach for selection of (near-) optimal subsets of principal components for discrimination
- 31 August 1995
- journal article
- Published by Elsevier in Pattern Recognition Letters
- Vol. 16 (8) , 781-787
- https://doi.org/10.1016/0167-8655(95)00041-e
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- A note on genetic algorithms for large-scale feature selectionPublished by Elsevier ,2003
- NEURAL NETWORKS, PRINCIPAL COMPONENTS, AND SUBSPACESInternational Journal of Neural Systems, 1989
- Self-organization in a perceptual networkComputer, 1988
- Optimization of Control Parameters for Genetic AlgorithmsIEEE Transactions on Systems, Man, and Cybernetics, 1986
- The ALSM algorithm — an improved subspace method of classificationPattern Recognition, 1983
- On Using Principal Components Before Separating a Mixture of Two Multivariate Normal DistributionsJournal of the Royal Statistical Society Series C: Applied Statistics, 1983
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982
- A Note on the Use of Principal Components in RegressionJournal of the Royal Statistical Society Series C: Applied Statistics, 1982