Open Internet by MindsNet

Enhancing K-Means Clustering with Diverse Variables

The author seeks to improve customer clustering by incorporating variables beyond RFM (Recency, Frequency, Monetary) in K-Means clustering. They are uncertain about how to effectively integrate additional variables such as change ratios, product returns, and web navigation data. The challenge lies in determining the best approach to validate and evaluate the enhanced clustering model.

Computing & Technology, Computer Science, Machine Learning