Marketing Analytics, Customer Lifetime Value, K Means Clustering, Probabilistic Models, Data Science.
visualizer = KElbowVisualizer(km_model, k=(2,10)) visualizer.fit(df_rftv) visualizer.show() After calculating the optimal number of clusters using the elbow method, it has been decided that the most effective choice is k= 4. This will enable the segmentation of customers into four distinct