Is OHE Useful for KNN?












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I know that with KNN we are computing distances and as a result we can only use numeric values and dtypes. However, if we do One Hot Encoding before passing the data through the KNN Algorithm, does this add anything to the model or is this just a weakness of this algorithm in particular?









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    1












    $begingroup$


    I know that with KNN we are computing distances and as a result we can only use numeric values and dtypes. However, if we do One Hot Encoding before passing the data through the KNN Algorithm, does this add anything to the model or is this just a weakness of this algorithm in particular?









    share







    New contributor




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







    $endgroup$















      1












      1








      1





      $begingroup$


      I know that with KNN we are computing distances and as a result we can only use numeric values and dtypes. However, if we do One Hot Encoding before passing the data through the KNN Algorithm, does this add anything to the model or is this just a weakness of this algorithm in particular?









      share







      New contributor




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







      $endgroup$




      I know that with KNN we are computing distances and as a result we can only use numeric values and dtypes. However, if we do One Hot Encoding before passing the data through the KNN Algorithm, does this add anything to the model or is this just a weakness of this algorithm in particular?







      machine-learning scikit-learn preprocessing k-nn





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      asked 7 mins ago









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      Ethan O. is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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