28 January 2011


Making People Happy with Clustering

As a company, RapidMiner of course is interested in getting paid for our software and services. This should actually be loan enough but actually we often get much more for which we are also grateful: the look on people’s faces seeing for a first time how well data mining works and what they probably can get out of it. This is amazing.

Being not only a company but even an open source company allows us to share this great feeling even more often. In his recent blog entry, Joshua Frankamp shares his experiences with us. Quote:

“This puts a huge grin on my face.”

Regular RapidMiner users can immediately tell that this is probably the plot of a hierarchical cluster model.

“It tells me that BAC, KEY, MI, RF, SNV, and STI are related. They’re all acronyms, yes, but more than that. They are all banking stock symbols. The node that the arrow points to contains these values. All banks. The nodes on either side contain exclusively real estate holding companies and home builders respectively.”

Well, this might of course not be surprising from a data analysts point of view, but as far as I can see, Joshua has just started his data mining tour. And I got the feeling that now he got hooked and will probably never stop 🙂

Ok folks, have fun discovering those and other – maybe more hidden – insights with RapidMiner. And don’t forget the look you had on your face the first time you have seen some correlation or causal connections – data analysis can be and should be surprising every day anew. Last quote from Joshua:

“Its great to be able to test out some of the things that I’ve been learning about in an environment that lets me try a lot of things in a relatively short amount of time.”

Two thumbs up, Joshua, and keep going!

There have been some major advancements to the RapidMiner platform since this article was originally published. We’re on a mission to make machine learning more accessible to anyone. For more details, check out our latest release.

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