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Jamshid Pirgazi1, Mohammad Mehdi Pourhashem Kallehbasti1, Ali Ghanbari Sorkhi1
1Department of Electrical and Computer Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran.
本研究引入了一种两阶段混合特征选择方法,以提高高维数据集的分类准确性. 该方法有效地识别了最佳特征子集,解决了样本少和类不平衡的挑战.
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