Produce a scatterplot data visualization to plot

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Reference no: EM133214901

Question: Use the K-means clustering algorithm kmeans() on the iris data set for the Sepal.Length and Sepal.Width variables. Perform the following steps by R code

A. Set the number of centroids to 3

B. Call the kmeans() algorithm and store the resulting kmeans class object to a variable named kc. You need to set seed to get reproducible results because kmeans() uses a random number generator to come up with the centers if you use the centers argument.

C. Review and print the cluster component of the kmeans object.

D. Review and print the centers component of the kmeans object.

E. Produce a scatterplot data visualization to plot each of the resulting clusters of data points and their centers. Use different colors for the data points residing in each cluster. Also, plot a special character (e.g. "+") showing the centroid of each cluster.

Reference no: EM133214901

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