Dear R Users:
 
I am new to R and I am trying to do a cluster analysis on a
single continuous variable using the Agnes [Agglomerative Nesting (Hierarchical
Clustering) ] in  the Package ‘cluster’.   I was able to apply this clustering method to
my data:

ward1 <- Agnes(balances, diss= FALSE, metric =
"euclidean", stand = TRUE, method = "ward", keep.diss
=TRUE, keep.data = TRUE)


Now I am wondering if someone can point me in the right direction
with the following: 

1.        1.   How do I determine the number of clusters?  I would like to apply the Calinkski and
Harabasz (1974) stopping rule recommended in the Monte Carlo Simulation by Milligan
and Cooper (1985).

2.       2.  How do I obtain the clustering rules? (I.e. how
do I assign my observations to the cluster from my final solution?).


I was able to find  the Package ‘clusterSim’ which Calculates
Calinski-Harabasz pseudo F-statistic but I am having some difficulty
substituting in the CL (A vector of integers indicating the cluster to which
each object is allocated) argument  in
the formula:
index.G1 (x,cl,d=NULL,centrotypes="centroids")
 
Thanks in advance for any help,
 
Sincerely,
 
Pancho Aguirre


      
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