Explain the steps of K-means Clustering algorithm. Mention the key steps that need to be followed and how the algorithm works.

The algorithm for K-means algorithm is as follows:

  • Select initial centroids. The input regarding the number of centroids should be given by the user.
  • Assign the data points to the closest centroid
  • Recalculate the centroid for each cluster and assign the data objects again
  • Follow the same procedure until convergence. Convergence is achieved when there is no more assignment of data objects from one cluster to another, or when there is no change in the centroid of clusters.