Iris Dataset : Species Classification :: Customer Segmentation : ?

The Iris Dataset is a classic example used for species classification, where the goal is to predict which species a flower belongs to based on measurements. In the same way, Customer Segmentation is a technique used to group customers into distinct clusters based on similarities in their behavior, demographics, or purchasing patterns. The reasoning is that both tasks involve grouping objects—flowers or customers—into meaningful categories. For example, a retailer might segment customers into “high‑spender,” “price‑sensitive,” and “brand‑loyal” groups to tailor marketing strategies. Thus, Customer Segmentation is analogous to clustering customers rather than classifying them into predefined categories.