# How does it works?
In ***RFM Segmentation***, the KMeans method will train a dedicated KMeans model for each column of the  **RFM** core information



# More concretely
Here we will present an example of what could happen regarding Monetary value axis.
Assume we have the following customer "total basket" distribution in our dataset of 2500 customers :arrow_down:: 

![total_basket_distribution.png](09velPXoCMT5)

Applying the K Means method would lead to the following Monetary value scores distribution :arrow_down::  

![monetary_value_scores_distribution_kmeans_method.png](vdJxtm8ejr7i)


And we would get the following counts of customers within each of these segments :arrow_down::  

![monetary_value_scores_counts_kmeans_method.png](XuGHMAJ4c80y)