Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
the largest cluster by setting k (the number of clusters) as small as one. You can get the densest clusters by using a large k , creating many dense micro-clusters. We lose any insightful information we might want to infer from the cluster in both cases. Luckily, we can measure largeness, density