Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
their own. In the above case (Fig. 5.), if we set the number of clusters=3, we get Fig. 7. Notive that the third cluster is completely made of outliers. Original image. This reflects in the elbow plot (discussed above). Adding the third cluster drastically reduces the sum of intracluster variances.