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In this paper we present a linear pattern classification algorithm, Principal Component Null Space Analysis (PCNSA) which uses only the first and second order statistics of data for classification and ...

Traditional attribute reduction techniques treat all classes equally, potentially overlooking the unique requirements and characteristics of specific classes. To overcome this limitation, we introduce ...