# Session 05 Assignment: Segmentation

## Goal

Use unsupervised learning to identify meaningful customer groups and explain their business use.

## Recommended Demo

- `DomainUseCaseDemos\Banking\CustSeg`

## Student Tasks

1. Generate or reuse the segmentation dataset.
2. Run clustering and inspect the output clusters.
3. Assign business-friendly names to the segments.
4. Recommend one strategy per segment.

## Required Outputs

- cluster summary table
- segment naming rationale
- recommended action plan

## Extension Ideas

- compare two clustering choices
- use RFM and K-Means side by side
- discuss risks of over-interpreting unsupervised clusters