Abstract:In this contribution there are considered interval‐valued methods of improving the quality of classification by the
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N binary classifiers in the case of large number of attributes in data sets. One of the possible applications of the introduced method are the microarray data so the presented results may be applied in medical diagnosis support, for example, in identification of marker genes. The proposed algorithm involving reduction methods of time complexity and interval modeling of data using interval‐v… Show more
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