KMeans Interview Questions and Answers
What is K-Means clustering? K-Means is an algorithm for clustering that divides a dataset into ‘k’ separate and non-overlapping subgroups, also known as clusters. How does K-Means work? K-Means operates by repeatedly designating data points to the closest cluster center and adjusting the cluster centers according to the average of the assigned points. …