I'm trying to do the two-step cluster analysis known from SPSS in R since I don't have a license for SPSS. For this, I came across the package 'prcr'. There is a command to perform such an analysis. Strangely enough, I have to specify how many clusters I want to have, whereas the advantage of the two-step analysis is that it tries to determine the optimal number on the first step and then implements it in step 2 with k-means.
Does anyone of you know how I can implement this procedure in R?
Here you can find my code:
daten.iris <- na.omit(iris)
daten.iris <- scale(iris[, -5])
twostep.res <- create_profiles_cluster(daten.iris, Sepal.Width, Sepal.Length, Petal.Width, Petal.Length, n_profiles = 3)
I appreciate any help.
I searched nearly everywhere but I can't find anything.