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Can we use pca for supervise classification?


Does high error rate in regression imply the data set is unpredictable?How to extract features and classify alert emails coming from monitoring tools into proper category?Online/incremental unsupervised dimensionality reduction for use with classification for event predictionUnsupervised Classification for documentsFeature reduction conveniencePreparing, Scaling and Selecting from a combination of numerical and categorical featuresPCA - Error minimization and Variance MaximizationWhen to perform feature selection, how, and how does data affect choosing the predictive model?Show importance of variables from a data set without a response variable? Use PCA?Does PCA decrease the feature on my Data set or just decrease the dimension?













0












$begingroup$


My questions are:



  1. Can we use "pca feature selection" for supervised classification? What will happen to labels when we use dimension reduction?

  2. If I understand it right when we use pca for
    feature extraction after do it we have old features but in new
    dimension then can we say these are the new features or mixed
    features?

  3. Is "feature extraction" different with "feature
    selection" in pca? I mean they are two things to do with different
    ways.

  4. How can select effective features with pca?
    There is a lots of references on the internet but I couldn't find
    any MATLAB sample code or video (on youtube) about pca feature
    selection, I mean not in theory, I'm looking for sample code in any language(Paython, Matlab,etc).









share|improve this question







New contributor




motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$
















    0












    $begingroup$


    My questions are:



    1. Can we use "pca feature selection" for supervised classification? What will happen to labels when we use dimension reduction?

    2. If I understand it right when we use pca for
      feature extraction after do it we have old features but in new
      dimension then can we say these are the new features or mixed
      features?

    3. Is "feature extraction" different with "feature
      selection" in pca? I mean they are two things to do with different
      ways.

    4. How can select effective features with pca?
      There is a lots of references on the internet but I couldn't find
      any MATLAB sample code or video (on youtube) about pca feature
      selection, I mean not in theory, I'm looking for sample code in any language(Paython, Matlab,etc).









    share|improve this question







    New contributor




    motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      0












      0








      0


      2



      $begingroup$


      My questions are:



      1. Can we use "pca feature selection" for supervised classification? What will happen to labels when we use dimension reduction?

      2. If I understand it right when we use pca for
        feature extraction after do it we have old features but in new
        dimension then can we say these are the new features or mixed
        features?

      3. Is "feature extraction" different with "feature
        selection" in pca? I mean they are two things to do with different
        ways.

      4. How can select effective features with pca?
        There is a lots of references on the internet but I couldn't find
        any MATLAB sample code or video (on youtube) about pca feature
        selection, I mean not in theory, I'm looking for sample code in any language(Paython, Matlab,etc).









      share|improve this question







      New contributor




      motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      My questions are:



      1. Can we use "pca feature selection" for supervised classification? What will happen to labels when we use dimension reduction?

      2. If I understand it right when we use pca for
        feature extraction after do it we have old features but in new
        dimension then can we say these are the new features or mixed
        features?

      3. Is "feature extraction" different with "feature
        selection" in pca? I mean they are two things to do with different
        ways.

      4. How can select effective features with pca?
        There is a lots of references on the internet but I couldn't find
        any MATLAB sample code or video (on youtube) about pca feature
        selection, I mean not in theory, I'm looking for sample code in any language(Paython, Matlab,etc).






      classification feature-selection feature-extraction pca






      share|improve this question







      New contributor




      motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 33 mins ago









      motevalizadehmotevalizadeh

      1054




      1054




      New contributor




      motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.





      New contributor





      motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      motevalizadeh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.




















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