Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
across clusters. As we increase k, our SSE across clusters would decrease. At k=number of points in the dataset, the SSE will be 0 for all clusters because each point will be its own cluster and its own centroid. However, this is not useful. Therefore, we want to increase k, but only to a point