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PCA for classificatin problem.

ThiruThiru Member Posts: 94  Guru
edited October 2020 in Help
dear all,

1. can we use PCA as dimens. reduction/feature selection  technique for classification problem?  If it is yes, how
to use both numeric feature and polynomial label  in data set or PCA operator? (PCA operator accepts only numeric data)

2.  If we cant use PCA for classification problem, how to do feature selection/dimensionality reduction for classification
problem using supervised algorithm. 

thanks.

regds
thiru

Answers

  • BalazsBaranyBalazsBarany Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 715   Unicorn
    Hi @Thiru,

    if the label is set correctly (Set Role operator), PCA will ignore the polynominal label. If you have other nominal attributes, you'll need an operator like Nominal to Numerical to recode it to numbers.

    So you can easily use PCA in this situation.

    Regards,

    Balázs
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