How to Compare and Evaluate Unsupervised Clustering Methods?

Using Python, Scikit-Learn, and Google Colab

Evaluating the performance of unsupervised clustering methods is difficult because there are no ground truth labels to compare the clustering results with. Remember that clustering is an unsupervised learning task, meaning that it operates on unlabeled data and tries to find structure in…