An Embedded Backward Feature Selection Method for MCLP Classification Algorithm

Corresponding author. E-mail address: [email protected] Abstract Feature selection is very crucial for improving classification performance, especially in the case of high-dimensional data classification.Different classification algorithms tend to select different optimal feature subsets. Based on detailed analysis of the characteristics of Multiple Criteria Linear Programming (MCLP) classifica...

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An Embedded Backward Feature Selection Method for MCLP Classification Algorithm

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