Objective: In this paper aims to overcome the problems associated with traditional financial analysis, have studied new methods for financial analysis in the Iran pharmaceutical industry. Methodology: In this regard, single-stage and two-stage DEA has been used. The data has been gathered from financial statements for 2014 and the analysis focused on efficiency. Finally, by pay attention to the second sheet of paper, concluded that DEA single-stage and two-stage complement each other. Results: The results showed that the gabor based unsupervised learning described in the present study was able to produce accurate results in the classification of breast cancer data and the classification rule identified was more acceptable and comprehensible. Conclusion: There is a strong correlation between the two methods, and they don't show the same things so these two methods are complementary. Also not superiority On each other and both should be used with financial ratios. so The results in this research are not in same way with the results saravanan article but But the same with pitchumani research.
