Clustering is a fundamental technique in data science and machine learning, used for grouping similar data points together. Among the various metrics to evaluate the quality of clustering, Inertia and Silhouette Coefficient stand out for their insightful feedback on cluster quality. Let's dive into what these metrics are and how they help in analyzing clusters.

Blog post: https://www.victorleungtw.com/2023/12/16/inertia/