Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
example, with five clusters, the centre one (C1) is flanked by the rest four on all sides. The four-sided enclosure is the decision boundary for any point to be or not to be placed in cluster-1, based on the closest centroid. For a new point, cluster assignment is solely dependent on the distance