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MITRA Sushmita 《重庆邮电大学学报(自然科学版)》2008,20(3):348-354
This article provides an outline on a recent application of soft computing for the mining of microarray gene expressions. We describe investigations with an evolutionaryrough feature selection algorithm for feature selection and classification on cancer data. Rough set theory is employed to generate reducts, which represent the minimal sets of nonredundant features capable of discerning between all objects, in a multiobjective framework. The experimental results demonstrate the effectiveness of the methodology on three cancer datasets. 相似文献
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