Generalized Discriminant Analysis Using a Kernel Approach
Top Cited Papers
- 1 October 2000
- journal article
- Published by MIT Press in Neural Computation
- Vol. 12 (10), 2385-2404
- https://doi.org/10.1162/089976600300014980
Abstract
We present a new method that we call generalized discriminant analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is close to the suppo...Keywords
This publication has 6 references indexed in Scilit:
- Probabilistic self-organizing map and radial basis function networksNeurocomputing, 1998
- Nonlinear Component Analysis as a Kernel Eigenvalue ProblemNeural Computation, 1998
- A minimum error neural network (MNN)Neural Networks, 1993
- Probabilistic neural networksNeural Networks, 1990
- On optimal nonlinear associative recallBiological Cybernetics, 1975
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMSAnnals of Eugenics, 1936