Cancer Detection Using ANFIS and SVM Classification
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Date
2014
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Abstract
A novel method to enhance the perfomiance of classifiers Adaptive Neuro Fuzzy Inference System
(ANFIS), Support Vector Machine (SVM) through feature selection is proposed. The feature selection methods
Genetic Algorithm (GA) and Rough Set (RS) are used to select the features. This research work focus on selecting
the prominent features to improve the accuracy of the classification algorithms. The experiments are performed
on the Breast cancer WBCD and Liver cancer BUPA liver Disorder. The performance of the classification
algorithms is estimated in terms of increase in accuracy after feature selection.