KMeans is a popular clustering algorithm used for partitioning data into distinct groups, called clusters, based on their similarity. How it works: Initialization,Assignment,Update and Repeat.
For this project will work with the following: CustomerID : Unique identifier for each customer. Gender Age of the customer. Annual Income (k$) Spending Score (1-100)
Analysis
Target group would be cluster 2 which has a high Spending score and high income.
59% of cluster 2 shoppers are women - look for ways to attract these customers using a marketing campaign targeting popular items in this cluster.
Cluster 4 presents an interesting opportunity to market to the customers for sales event on popular items.