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sigma
2008 Mar 31
1
3d plot
Hi,
I would like to have 3d plot, and I found that there is a command "scatterplot3d". x is V, y=sigmaV, and z=TSE (note: After some calculation, I update TSE). How could I do to have 3d plot I want?
V<-seq(1279,1280,,100)
sigmaV<-seq(0.28,0.29,,100)
TSE<-matrix(0, length(V),length(sigmaV))
ps: TSE[i,j] corresponds to V[i] and sigmaV[j].
Thanks,
Kate
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2017 Aug 24
1
Problem in optimization of Gaussian Mixture model
...y calculating the dnorm
*xnorm*=function(param, opt = rep(NA, 2)){
if (any(!sapply(opt, is.na))) {
i = !sapply(opt, is.na)
# Fix non-NA values
param[i] <- opt[i]
}
xval= param[1]
seg <- param[2]
sum_prob=0
val=0
l=3
meanval=c(506.8644, 672.8448, 829.902)
sigmaval=c(61.02859, 9.149168, 74.84682)
coeffval(0.1241933, 0.6329082, 0.2428986)
for(n in 1 :l)
{
mu=meanval[seg,n]
sg=sigmaval[seg,n]
cval=coeffval[seg,n]
val=cval*(dnorm(xval,mu,sg))
#print(paste0("The dnorm value for x is.: ", val))
sum_prob=sum_prob+val...