In real world scenario, large number of features represents a data, but all these are not useful.In this paper,hybrid algorithm comprising modified genetic (GA) for segmentation andnormalised sum square deviation (NSSD) feature selection is proposed. The proposed tested one standard dataset, which gives an average accuracy 94.3% neural network classifier. Keywords: Classification, segmentation,...