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<center>[[Image:C12_1.png|300px|thumb|left|Fig 1(a): <math> c_{12} = 1 ,  c_{21} = 1
+
<center>[[Image:C12_c21.png|600px|thumb|left|Fig 1: Data for class 1 (crosses) and class 2 (circles).
 +
In all cases, Prob(<math>\omega_1</math>) = Prob(<math>\omega_2</math>) = 0.5.
 +
Misclassified points are shown in red.
 +
Values of <math>\mu_1</math>, <math>\mu_2</math>, and <math>\Sigma</math> are given in
 +
Eqs. (------) - (----------).
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As the figures show, the separating hyperplanes shift depending
 +
on the values of <math>c_{12}</math> and <math>c_{21}</math>.
 
</math>.]]</center>
 
</math>.]]</center>
  

Revision as of 13:38, 12 April 2014

test test


Fig 1: Data for class 1 (crosses) and class 2 (circles). In all cases, Prob($ \omega_1 $) = Prob($ \omega_2 $) = 0.5. Misclassified points are shown in red. Values of $ \mu_1 $, $ \mu_2 $, and $ \Sigma $ are given in Eqs. (------) - (----------). As the figures show, the separating hyperplanes shift depending on the values of $ c_{12} $ and $ c_{21} $. </math>.

References

[2]. Mireille Boutin, "ECE662: Statistical Pattern Recognition and Decision Making Processes," Purdue University, Spring 2014.



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