customer segmentation using k means clustering python github
Agglomerative clustering is a popular hierarchical clustering method used in customer segmentation research.
It treats each data point as an independent cluster and merges the nearest clusters iteratively until all data points are contained in a single cluster or a preset number of clusters are formed [26].
How to do customer segmentation in Python?
�� Link to Google Colab notebook.
1Step 1 – Import Necessary Libraries and Modules.2) Step 2 – Load the Dataset.
3) Step 3 – Explore and Clean the Dataset.
4) Step 4 – Compute Recency, Frequency, and Monetary Value.
5) Step 5 – Map RFM Values onto a 1-5 Scale.
6) Step 6 – Perform K-Means Clustering.
What is clustering in customer segmentation?
Cluster analysis in customer segmentation is used to create homogeneous groups of customers.
In general, customer segmentation is used to identify behaviors and attitudes of the groups you've segmented by market.
Cluster analysis will reveal clusters based on these characteristics.
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