Implement Mall Customers Segmentation using K Means Clustering and Python Machine Learning by Dr. Mahesh Huddar
In this video, I have discussed how to create clusters (segments) of customers who have visited MALL based on annual income and spending limit using K-Means Clustering in Python.
Clustering is a set of techniques used to partition data into groups or clusters.
K-Means Clustering is an Unsupervised Learning Algorithm, which groups the unlabeled dataset into different clusters.
The k-means clustering algorithm mainly performs two tasks:
Determines the best value for K center points.
Assigns each data point to its closest k-center.
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