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· · IngoRM Posts: 1,750 RM Founder
February 2013
Hi, in the "Samples" repository delivered together with RapidMiner you can find an example for creating the desired plot: //Samples/processes/07_Clustering/09_KMeansWithPlotIt uses a parameter iteration for the number of clusters (k) and a Log operator for collecting the values for DB-Index (DB) and the average within cluster distance (W). The process log can then be inspected as a table or immediately plotted. I recommend the plot type "Scatter Multiple" with "k" on the x-axis and both "DB" and "W" on the y-axis. In the settings at the bottom you could even activate lines between the points simplifying the detection of the elbow.
I leave it to you to determine if 3, 4, or 5 clusters should be used in this case ;-)
Screen shot 1: I tried to build the process suggested by Ingo.
Can anyone out there help me with Ingo's suggestion.
Or provide another way to get to k.
Thank you for your time.
Tony
Screen shot 2, I tried to execute the process:
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