Practical pattern classification problems require selection of a subset of attributes or features to represent the patterns to be classified. The feature selection process is very important which selects the informative features for used classification process. This is due to the fact that performance of the classifier is sensitive to the choice of the features used to construct the good classifier from small or high dimension data that are inherently noisy. In this paper, we propose an...