What is a recommended criterion to determine the number of clusters in a k-means approach? a. Silhouette

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What is a recommended criterion to determine the number of clusters in a k-means approach?

a. Silhouette score.

b. Elbow method.

c. Corresponding set of k clusters has an intuitive interpretation and does not change when input data is slightly changed.

d. All of these.

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Business Analytics

ISBN: 9780357902219

5th Edition

Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

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Question Posted: Apr 27, 2024 11:03 PM

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What is a recommended criterion to determine the number of clusters in a k-means approach? a. Silhouette

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