Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
and separation. Largeness --> number of points in the clusters. Density --> Average of distance of two points in a cluster. Separation --> overlap between two cluster. Consider a KMeans model being fitted on a dataset. How do we decide the number of clusters? Remember that KMeans minimizes the SSE