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Program Title: KMeans Description: Computes KMeans clusters on a data set Programmers: Paul Fletcher and Ben Buckwalter Last Updated: 03/16/2021 The code for this program is contained in the KMeans.py file. Run the program from the terminal: While in the KMeans directory run the KMeans.py file with arguments for (arg1) the number of clusters, (arg2) the number of iterations, and (arg3) the epsilon value. For example, if number of clusters = 3, number of iterations = 10, and epsilon = 0, the command should look as follows: $ python3 KMeans.py 3 10 0 Output: The code will output a file called clusters.csv which will contain the cluster value and associated distance value for each row of data. We also include the original class labels associated with the data set.
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Implementation of the KMeans algorithm in Python
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