Machine Learning, Unsupervised Learning, Clustering, K Means.
the cluster assignments no longer change. Advantages of K-Means clustering K-Means is easy to understand and implement It is computationally efficient and scalable for large datasets It can find spherical clusters of similar size Disadvantages of K-Means clustering It requires the number of