Hello, I am using the parameterized EM- Algorithm in clustering context. I use generated datasets, containing 5000 points in 20 dimensions with 5 clusters. The following poses a problem for me:
emEst<-me(modelName="EEV",data=data[,1:numDimensions],z=unmap(x)) emEst<-me(modelName="VEV",data=data[,1:numDimensions],z=unmap(x)) coordProj(main="Model EEV",data,dimens=c(1,2),type="classification",ask=F,mu=emEst$mu,sigma=em Est$sigma,z=emEst$z) coordProj(main="Model EEV",data,dimens=c(1,2),type="classification",ask=F,mu=emEst$mu,sigma=em Est$sigma,z=emEst$z) For these two Models, neither the constraint "E" f�r equal shape, nor the constraint "E" for equal Volume seems to have any impact on the model. In contrast, for all other models, the constraints apply fine... How is this to be explained ? Thanks a lot Best regards Bjoern ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
