| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1147266 | Journal of Multivariate Analysis | 2007 | 26 Pages |
Abstract
Fisher's linear discrimination rule requires uncorrelated training vectors. In this paper a linear discrimination method is developed to be used when the training vectors are equicorrelated. Also, maximum likelihood ratio tests are proposed to decide whether the training samples are uncorrelated or equicorrelated.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
