When I cluster a dataset using MClust, I use the following code-
i = 2
print(paste("Number of clusters =", i))
cluster_model1 <- Mclust(cc[2:6], G=i)
When I repeat the clustering, the cluster classification (id) in each iteration can remain the same or it can change from 1 to 2 or 2 to 1. Is it possible to set the cluster id so that it does not change arbitrarily. I want to see how many times data from 10 imputed datasets belongs to cluster 1 or cluster 2. I can calculate this only if the cluster id remains the same.
The dataset cc
has this data
head(cc[2:6])
ea pa sa en pn
1 1.0 1.0 1.0 2.2 1.6
2 3.2 2.4 1.0 3.2 1.8
3 1.2 1.0 1.0 2.0 1.0
4 1.6 1.2 1.2 1.0 1.2
5 3.6 1.0 1.6 4.0 2.6
6 1.6 1.0 1.4 1.4 1.2
When I cluster, the classification could be
head(cluster_model1$classification)
[1] 2 1 2 1 1 1
or
head(cluster_model1$classification)
[1] 1 2 1 2 2 2
While the clustering results are correct, is it possible to set it as 2 1 2 1 1 1
every time the clustering is done.