How to make clustering explainable

In this article, I will explain how to use SHAP values to have a better understanding of clustering

Clustering is always a black box

Clustering is often required in business cases to have a better understanding of different types of clients. But it might be enough. From a business point of view, it does not suffice to know how many clusters we have, and who belongs to which cluster. We need to know what exactly forms these different clusters. In …

clustering data science machine learning shap