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Micorarray data are often extremely asymmetric in dimensionality, such as thousands or even tens of thousands of genes and a few hundreds of samples. Such extreme asymmetry between the dimensionality of genes and samples can lead inaccurate diagnosis of disease in clinic. Therefore, it has been shown that selecting a small set of marker genes can lead to improved classification accuracy. In this paper,...
In order to solve the reasoning and decision problems when the given information is not sufficient, a mining method for attribute reduction of classification rules based on Rough Fuzzy Set theory is proposed, and its flow chart is also presented. The method can mine hidden association rules in samples and make decisions by using the reduction algorithm of characteristic attribute based on rough set...
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