Computational and Mathematical Methods in Medicine / 2016 / Article / Psdc 1

Research Article

The Hybrid Feature Selection Algorithm Based on Maximum Minimum Backward Selection Search Strategy for Liver Tissue Pathological Image Classification

Pseudocode 1

The pseudocode of the framework of the hybrid feature selection algorithm based on MMBS search strategy.
The hybrid feature selection algorithm based on MMBS search strategy /
Input: train data , test data , () (the number of feature of th subset )
Output: feature subset
Initialize feature set as empty,
//Add feature
Calculate and threshold of each feature;
Calculate total number of feature .
Assuming the number of feature after adding is , initialize .
for
  if
   ; //add to feature subset
   ;
  end
end
Train classifier by the features in , and get a classification model; Classify the test data by the
model, and the classification accuracy is .
// Remove feature
   represents the features of feature subset after adding features.
  ;
  for
 for
   ;
   Train classifier by the features in tempS, and get a classification model; Classify
   the test data by the model, and the classification accuracy is .
   if
    ; //Remove feature
    ; //Update threshold of accuracy
   end
  end
  end

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