Question

Which one is NOT TRUE about k-means clustering??

Answer 1

Answer:-

K-Means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem.

Answer 2

K-nearest neighbor is same as k-means is not true about k-means clustering

Explanation:

• As k-means is an iterative calculation, it guarantees that it'll continuously focalize to the worldwide ideal.
• K-means clustering is one of the only and well known unsupervised machine learning calculations.
• In other words, the K-means calculation distinguishes k number of centroids, and after that designates each information point to the closest cluster, whereas keeping the centroids as little as conceivable.