Max-p-regions model (Tabu)

The max-p-regions model, devised by Duque_Anselin_Rey2010, clusters a set of geographic areas into the maximum number of homogeneous regions such that the value of a spatially extensive regional attribute is above a predefined threshold value. In clusterPy we measure heterogeneity as the within-cluster sum of squares from each area to the attribute centroid of its cluster.

Algorithm

The max-p-regions algorithm is composed of two main blocks:

Parameters

About Clusterpy

This algorithm is part of a set of algorithms that can be found in the Clusterpy library for Python. Website. Also on Github