Customer-segmentation using K-Means clustering

Unsupervised learning project

K Means Clustering Algorithm

1.Specify number of clusters K.

2.Initialize centroids by first shuffling the dataset and then randomly selecting K data points for the centroids without replacement.

3.Keep iterating until there is no change to the centroids. i.e assignment of data points to clusters isn’t changing.