This function calculate the heterogeneity of a class C_k obtained with the method hclust.geo.H
.
heterogeneity= alpha I_intra_var + (1alpha) I_intra_geo.
1  heterog.Ck(dist.var, dist.geo, partition, classe, wt, alpha)

dist.var 
a square symetric matrix with the distances between individuals measured on the variables. 
dist.geo 
a square symetric matrix with the geographical distances between individuals. 
partition 
a vector of size 
classe 
the number of the class for which we want the heterogeneity. 
wt 
a vector of size 
alpha 
a real between 0 and 1 to fit the global criterion to optimize 
Note that in the calcul of Inertia, the two matrices of distances are normalized (divided by their own maximum).
res a list containing the following results : the Inertia of the class based on dist.var
,
the Inertia of the class based on dist.geo
, the heterogeneity of the class as defined in description.
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