Real-world uses

Created for this library

1. 1.

   A retail analytics team uses divisive clustering to split a large customer base into segments starting from a single cluster and recursively dividing it.

2. 2.

   A research team uses divisive clustering on news articles to obtain a top-down topic tree for editors to explore.

3. 3.

   A pharma research team uses divisive clustering on chemical compounds to expose the largest distinctions first before drilling down.