Function finds the intersections of Gaussians or LogNormals
BayesDecisionBoundaries(Means,SDs,Weights,IsLogDistribution,MinData,MaxData,Ycoor)vector[1:L-1], Bayes decision boundaries
if (Ycoor==TRUE), y values at the cross points of the Gaussians is also returned, that the return is a list of DecisionBoundaries and DBY
vector[1:L] of Means of Gaussians (of GMM)
vector of standard deviations, estimated Gaussian Kernels, has to be the same length as Means
vector of relative number of points in Gaussians (prior probabilities), has to be the same length as Means
Optional, ==1 if distribution(i) is a LogNormal, default vector of zeros of length 1:L
Optional, Beginning of range, where the Boundaries are searched for, default min(M)
Optional, End of range, where the Boundaries are searched for, default max(M)
Optional, Bool, if TRUE instead of vector of DecisionBoundaries list of DecisionBoundaries and DBY is returned
Michael Thrun, Rabea Griese
Duda, R. O., Hart, P. E., & Stork, D. G. (2001). Pattern classification. 2nd. Edition. New York, p. 512ff
AdaptGauss,Intersect2Mixtures,Bayes4Mixtures