Clustering Metrics Better Than the Elbow Method - KDnuggets

Clustering is an important part of the machine learning pipeline for business or scientific enterprises utilizing data science. As the name suggests, it helps to identify congregations of closely related (by some measure of distance) data points in a blob of data, which, otherwise, would be difficult to make sense of. However, mostly, the process of clustering falls under the realm of unsupervised machine learning. And unsupervised ML is a messy business. There is no known answers or labels to guide the optimization process or measure our success against.