In this section, we trained the K-Means clustering model and determined the optimal number of clusters using the Within Clusters Sum of Squares (WCSS) method. The following steps were taken: Training ...

The dataset should have columns for each customer’s attributes. Preprocessing the Data: Clean the data, handle missing values, and scale the features to standardize them for clustering. Apply K-Means ...