I have a group of 144 people. I have 3 categorical observations and each of them is described by three variables. After performing a k-means on 3 clusters in r I see that one of the groups, "overt" is clustered together and the other two groups overlap a lot. Moreover when clustering with 2 clusters, the "overt" group again has their own cluster while the other two groups overlap.
My question: Is this enough to conclude that the groups "chemical" and "normal" are statistically the same and the third group is different?
I feel like I didn't really perform any statistical experiment in here. Could anyone give me some hints on how to analyse this correctly? Thanks.
diabetes<-read.csv(file="diabetes1.csv") set.seed(312) DIABETES.new = diabetes DIABETES.new$Class <- NULL DIABETES.standard <- scale(DIABETES.new) results1 <-kmeans(DIABETES.standard, 3) table(diabetes$Class, results1$cluster) # 1 2 3 #Chemical 0 18 18 #Normal 0 11 64 #Overt 20 3 9 results2 <-kmeans(DIABETES.standard, 2) table(diabetes$Class, results2$cluster) # 1 2 #Chemical 36 0 #Normal 75 0 #Overt 12 20