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help for semi-supervised learning

NJENJE Member Posts: 2 Newbie
I want to work with semi-supervised learning.
First of all, I'll do the feature selection with this type of learning.
But I did not find any solution to it.
Can anyone help me?


  • Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,530   Unicorn
    Can you further clarify what you are interested in for "semi-supervised learning"?  That could encompass many different approaches. 
    There is an operator for one-class SVM in RapidMiner via the Anomaly Detection extension (free in the marketplace). This is a very popular algorithm for starting off with semi-supervised learning.  
    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
  • NJENJE Member Posts: 2 Newbie
    I want to do the feature selection using semi-monitoring learning.
    can you help me?
    I work for the weka team to continue working.
    There is ambiguity in the choice of feature.
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