Hierarchical clustering based on geographical distance and on distance between individuals mesured on numerical variables.

Description

This version optimize a global criterion of quality of classes H= alpha I_intra_var + (1-alpha) I_intra_geo

Usage

1
hclustgeo.uniq(data, D.geo, alpha)

Arguments

data

a data frame with n rows and p colums containing measures of individuals on variables

D.geo

a matrix of size n by n containing geographical distances between individuals

alpha

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

Value

clustan object of class hclustgeo.uniq containing the result of hclustgeo