Practice K Selection: Determining The Optimal Number Of Clusters (k) (5.4.2) - Unsupervised Learning & Dimensionality Reduction (Weeks 9)
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K Selection: Determining the Optimal Number of Clusters (K)

Practice - K Selection: Determining the Optimal Number of Clusters (K)

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Question 1

When choosing K based on Silhouette Analysis, you would select the K that yields the __ average silhouette score.
* Type: text
* Correct Answer: highest
* Explanation: A higher average silhouette score indicates a better-quality clustering solution.
* Hint: You want the best possible score.

💡 Hint: You want the best possible score.

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