Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification

Algorithm 3

SLLE-SC² method description.

Input: Data set

Output: Feature genes set

Step  1. = null; flag set flag = null; // the initial state is empty;

Step  2. SLLE // using Algorithm 1 for feature genes selection;

Step  3. for do;

   calculate the contribution of attributes respectively by PCA, where attribute ;

    if , output attribute ;

   end for

Step  4. for ; do

calculate correlation coefficient for attribute and by Algorithm 2, where ;

      if then

     flag = ;

     go to Step  3;

   end if

      if red = then

      go to Step  5;

   end for

Step  5. Return red.