Text clustering using k-Means and optimizing the amount of clusters

molsenmolsen Member Posts: 6 Contributor II
edited November 2018 in Help


I have made the attached process for RapidMiner, which will do the following:

Take the text from different rows and cluster them by similarity, while also carrying over the unique id number of each row. An optimization of the number of clusters needed by the Elbow method is also part of the process.

 ID and text.png

It is probably not perfect, but it took me some time to scramble together from different sources.

I hope it might help people who are in the same situation as I was to get a better starting point.

Here is the file:

Text clustering


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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,524 RM Data Scientist



    have a look at the processes i created for my hearthstone analysis: https://rapidminer.com/creative-use-hearthstone-cluster-analysis/ 


    This contains the ellbow, even with nice python plots.



    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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