Segmenting Mall Customers

The video tutorial guides viewers through the process of using K-means clustering to segment customers in a shopping mall dataset. It covers data exploration, cleaning, and visualization techniques, and explains how to determine the optimal number of clusters using the elbow method. The tutorial emphasizes targeting specific customer segments for marketing strategies based on spending behavior and demographic information.

What is the purpose of plotting an elbow curve in K means clustering?

Describe how visualization aids in understanding customer segments.

What steps are taken to extract and analyze a specific customer segment?