ANDRERR | ![]() |
Classification error of the Generalized Anderson's task.
Synopsis:
[err,r,inx] = andrerr( model, distrib )
Description:
This function computes the classification error of
the given linear classifier and underlying set of Gaussian
distributions as defined in the Generalized Anderson's
task [SH10].
Input:
model [struct] Linear classifier:
.W [dim x 1] Normal vector the separating hyperplane.
.b [real] Bias the hyperplane.
distrib [struct] Set of Gaussians with assigned binary labels:
.Mean [dim x ncomp] Mean vectors.
.Cov [dim x dim x ncomp] Covariance matrices.
.y [1 x ncomp] Lables of Gaussians (1 or 2).
Output:
err [real] Probability of misclassification.
r [real] Mahalanobis distance of the cloasest Gaussian.
inx [int] Index of the cloasest Gaussian.
Example:
distrib = load('mars');
model = eanders(distrib,{'err',0.06'});
figure; pandr( model, distrib );
error = andrerr( model, distrib )
See also
ANDRORIG, GANDERS, EANDERS, GGRADANDR.
About: Statistical Pattern Recognition Toolbox
(C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac
Czech Technical University Prague
Faculty of Electrical Engineering
Center for Machine Perception
Modifications:
4-may-2004, VF
17-sep-2003, VF