Clustering Basics (K-Means Overview)

Summary

An unsupervised method for grouping similar data points together without predefined labels — commonly used for customer segmentation.

• 1Read a conceptual (not heavily mathematical) explanation of how K-Means works.
• 2Run a basic K-Means clustering example on a sample customer dataset.
• 3Learn why choosing the right number of clusters (K) is more art than science.