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What is the best number of clusters and why

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Reference no: EM132846273

Question 1: Describe the dataset; its main features, labels, clusters, and usage.

Question 2: Select all features in the dataset then apply a K-means clustering algorithm with a different number of clusters.

Question 3: Evaluate the results of each run and create a chart that visualizes the results of each number of clusters.

Question 4: From your point of view, what is the best number of clusters and why?

Reference no: EM132846273

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