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Understanding 5 Key Cluster Evaluation Metrics for Effective Machine Learning Analysis
Learn how to evaluate and interpret clustering results using practical metrics and visualizations. This video guides you through preparing data, applying K-means clustering, and using key evaluation metrics like inertia, silhouette score, Davies-Bouldin index, and Calinski-Harabasz score. You will also see how to use the elbow method to select ...
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