Filter versus Wrapper Feature Subset Selection in Large Dimensionality Micro array : A Review

The microarray can track the expression levels of thousands of genes simultaneously. The high dimensional feature vectors of microarray impose a high dimensional cost as well as the risk of overfitting during classification. Thus it is necessary to reduce the dimension through ways like feature selection. Two basic approaches of feature selection appear: filter and wrapper techniques. In this paper, we make the people aware of the various techniques of feature selection. Keywords— Microarray, Feature Selection, Filter, Wrapper,