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Clustering evaluation metrics basic goal is to measure the similarity within each cluster and dissimilarity among clusters; if a clustering algorithm has achieved those two things in an acceptable degree than it has performed well. The most commonly used evaluation metrics are: -Silhouette Coefficient - it is the most popular one for time-series clustering (...

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