Shopping Mall Customer Data Segmentation Using Machine-Learning Algorithm

Abstract

The Customer segmentation is the process of
segmenting customers based on example of their purchase
behavior over the previous time (e.g.: years). The data of Mall
Customers are used for the predictions. It is unlabeled data that
comprises information about mall customers (features include
Annual income (k$), Spending score, Genre and Age. Our goal
is to group consumers together based on their annual income
and expenditure score. This method can be used to find each
customer's salary and expenses. The output can be seen using a
graphical way.