An Efficient Diagnosis System for Parkinson’s Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach

Algorithm 1

Pseudocode for weighting features based on subtractive clustering method.

Begin

  Load the PD dataset, represent the data as a matrix with m samples and features;

  Initialize the corresponding values;

  Calculate the cluster centers using subtractive clustering method;

  Calculate the mean values of each feature in ;

  For each data

   For each feature in dataset

      ratios () = mean()/cluster_ ;

    End For

  weighted_ features () =   * ratios ();

  End For

End