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A lower bound on the performance of the quadratic discriminant function
- Source :
-
Journal of Multivariate Analysis . May2004, Vol. 89 Issue 2, p371. 13p. - Publication Year :
- 2004
-
Abstract
- The quadratic discriminant function is often used to separate two classes of points in a multidimensional space. When the two classes are normally distributed, this results in the optimum separation. In some cases however, the assumption of normality is a poor one and the classification error is increased. The current paper derives an upper bound for the classification error due to a quadratic decision surface. The bound is strict when the class means and covariances and the quadratic discriminant surface satisfy certain specified symmetry conditions. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 0047259X
- Volume :
- 89
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Multivariate Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 12984228
- Full Text :
- https://doi.org/10.1016/j.jmva.2003.11.005