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.

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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