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Mall Customers Segmentation
A popular machine learning usecase is the clustering and with the help of K-Means Algorithm,
I was able to segment the customers of shoping mall into 5 catagories. The basis was on
annual income, spending habbits, amount spend, frequency of shoping.
The below image shows the end result of the clustering process the color of the points determine the customers. The small size of the dataset meant that some advanced clustering methods like DBSCAN. End results or observations were delievered to the client.
The below image shows the end result of the clustering process the color of the points determine the customers. The small size of the dataset meant that some advanced clustering methods like DBSCAN. End results or observations were delievered to the client.
