Customer Segmentation And Classification

May 31, 2015
This experiment uses RFM and k-means clustering for customer segmentation and multi-class logistic models to predict segments.
Here’s a high level flow of the analysis. • Calculate R, F and M parameters • Apply k-means clustering algorithm on these parameters to group similar customers. • Apply classification algorithms such as Logistic Regression and Decision Trees to predict future customer behavior.