Elbow Method: Evaluating Optimal Cluster Count
mdancho84 · x · 2026-08-30
- Definition: The Elbow Method involves plotting inertia as a function of the number of clusters and looking for an 'elbow' in the graph.
- Principle: The elbow point, where the rate of decrease sharply changes, is typically considered a good choice for the number of clusters, used to evaluate K-Means performance.
Related event: K-Means clustering: how it works and how to evaluate it(4 posts)→
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