Introduction K Means Clustering Algorithm with Use cases in machine learning

Clustering:

Identify the pattern in data items and group them
based upon the common attributes.

K-Means Clustering

•Unsupervised machine learning.

•No labels

•K denotes number of centroids.

•Compute the distances from each point and allot points to the 

cluster where the distance from the centroid is minimum.