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Cluster analysis

The purpose of this assignment is to demonstrate steps performed in a K-Means Cluster analysis.

Use Excel to perform the following data analysis.

Plot the data on a scatter plot.

Determine the ideal number of clusters.

Choose random center points (centroids) for each cluster. (Note: Each student will select a different random set of centroids.)

Using a standard distance formula measure the distance from each data point to each center point.

Assign each data point to an initial cluster region based on closeness.

For each cluster calculate new center points.

Repeat steps 4 through 6.

Skills: Hadoop, OpenStack, Redis, Statistical Analysis, VMware

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