To implement the elbow method, follow these steps:
Run K-means clustering for a range of values for K (number of clusters). For each K, calculate the WCSS. Plot the WCSS against the number of clusters K. Identify the point where the decrease in WCSS starts to slow down, forming an 'elbow'. Select the number of clusters at this elbow point as the optimal number.
