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2007•Journal of Shenyang Normal UniversityRequires access

Probability and Adjustment of Mistaken Discriminant in Discriminant Analysis

XU Zhao-di

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Abstract

In discriminant analysis mistaken discriminant is inescapable whatever discriminant method is applied.Mistaken discriminant results mainly in two aspects.One is that the average value of each collectivity is approximately equal,the other is covariance of each collectivity is non-homogeneous.In this paper,the corresponding adjustment law and method for different reasons are presented.

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What this paper is about

In discriminant analysis mistaken discriminant is inescapable whatever discriminant method is applied.Mistaken discriminant results mainly in two aspects.One is that the average value of each collectivity is approximately equal,the other is covariance of each collectivity is non-homogeneous.In this paper,the corresponding adjustment law and method for different reasons are presented.

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Available abstract

In discriminant analysis mistaken discriminant is inescapable whatever discriminant method is applied.Mistaken discriminant results mainly in two aspects.One is that the average value of each collectivity is approximately equal,the other is covariance of each collectivity is non-homogeneous.In this paper,the corresponding adjustment law and method for different reasons are presented.

Key concepts: Linear discriminant analysis, Discriminant, Optimal discriminant analysis, Kernel Fisher discriminant analysis, Mathematics, Multiple discriminant analysis, Pattern recognition (psychology), Statistics

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