1. The Problem It Solves


Many clustering algorithms split data into a fixed number of groups.

Once a data point belongs to a cluster, that's the end of the story.

But real-world data is rarely that simple.

Customers, products, organizations, and even biological species naturally form nested relationships.

For example:

A startup grows into a...