heterogeneity of a class C_k obtained with the method hclust.geo.H.

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Description

This function calculate the heterogeneity of a class C_k obtained with the method hclust.geo.H. heterogeneity= alpha I_intra_var + (1-alpha) I_intra_geo.

Usage

1
heterog.Ck(dist.var, dist.geo, partition, classe, wt, alpha)

Arguments

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 n giving the belonging of each individuals to each class of individuals.

classe

the number of the class for which we want the heterogeneity.

wt

a vector of size n whose values indicate weights of individuals on quantitative variables

alpha

a real between 0 and 1 to fit the global criterion to optimize

Details

Note that in the calcul of Inertia, the two matrices of distances are normalized (divided by their own maximum).

Value

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.