Feature Selection Tutorial

IwanIwan Member Posts: 9 Contributor I
edited November 2018 in Help

Hi Everyone,

I'm the new guy in rapidminer. just installed it couple days ago. I really need tutorial about feature selection.

I'm planning doing feature selection using K-Means, then doing some classification mining with the result. Is it possible doing it ?

Answers

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,316  RM Data Scientist

    Hi Iwan,

     

    Feature Selection is a complex tasks and there are some general tutorials around on the internet. Most of them would also work in RapidMiner.

     

    RapidMiner has quite some options built into the core (Forward Selection, Backwards Elemination, PCA, Weight by XXX). I think there is no overview about those methods yet drafted.

     

    RapidMiner also has a open source extension focussing on this. There is a paper on this available: http://www-ai.cs.uni-dortmund.de/PublicPublicationFiles/schowe_2011a.pdf . My personal favorite is MRMR :)

     

    ~Martin

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    yyhuanghughesfleming68
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