have The following pattern classes Gaussian probability density functions : w, = {(0, 0)", (2, 0)", (2, 2)*, (0, 2)4 and %3D 1 W2 = {(4, 4)", (6, 4)*, (6, 6)', (4, 6)*1. Assume that P(w,) = P(w,) = 1 and 2 %3D obtain the equation of the Bayes' decision boundary between these two classes. Also, sketch the boundary.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The following pattern classes have
Gaussian probability density functions :
w, = {(0, 0)", (2, 0)*, (2, 2)*, (0, 2)'4 and
W1
%3D
W2 =
{(4, 4)*, (6, 4)*, (6, 6)*, (4, 6)'1.
that P(w,) = P(w,) :
1
and
2
Assume
obtain the equation of the Bayes' decision
boundary between these two classes. Also,
sketch the boundary.
Transcribed Image Text:The following pattern classes have Gaussian probability density functions : w, = {(0, 0)", (2, 0)*, (2, 2)*, (0, 2)'4 and W1 %3D W2 = {(4, 4)*, (6, 4)*, (6, 6)*, (4, 6)'1. that P(w,) = P(w,) : 1 and 2 Assume obtain the equation of the Bayes' decision boundary between these two classes. Also, sketch the boundary.
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