Code to perform clustering using self organizing maps on retail customer data.

This is the code to cluster retail customers into eight different clusters by applying hierarchical clustering on neurons of a 15 x 15 2D self organizing map (som) obtained after training the som on a multi-dimensional retail customer data.

There are three folders:

Contains two python scripts I used for the project. Clustering.py is the main script that implements the clustering and minisom.py is a basic implementation of Self-organising Maps downloadable from here or can be installed directly via pip.

Contains the retail customers data I used in the project.

Cotains dendograms that helped in deciding the number of clusters.