Hello,
how is, for example, the Schwarz criterion is defined for kmeans? It should
be something like:
k <- 2
vars <- 4
nobs <- 100
dat <- rbind(matrix(rnorm(nobs, sd = 0.3), ncol = vars),
matrix(rnorm(nobs, mean = 1, sd = 0.3), ncol = vars))
colnames(dat) <- paste("var",1:4)
(cl <- kmeans(dat, k))
schwarz <- sum(cl$withinss)+ vars*k*log(nobs)
Thanks for your help,
Serguei
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Mail: [EMAIL PROTECTED]
http://www.wifo.ac.at/Serguei.Kaniovski
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