Discussion About Some Methods of Statistical Linear Discriminant Functions for Pattern Recognition

Cai Xingbing

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Discussion About Some Methods of Statistical Linear Discriminant Functions for Pattern Recognition

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- Discussion About Some Methods of Statistical Linear Discriminant Functions for Pattern Recognition
- Acta Electronica Sinica Issue 4, Pages: 74-84(1992)
- 作者机构：
  
  福州大学生物医学工程研究室,福州,350002
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1992
- 稿件说明：
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[1]蔡星炳.关于模式识别统计的线性判别函数若干方法的讨论[J].电子学报,1992(04):74-84.

Cai Xingbing. Discussion About Some Methods of Statistical Linear Discriminant Functions for Pattern Recognition[J]. Acta Electronica Sinica, 1992, (4): 74-84.
[1]蔡星炳.关于模式识别统计的线性判别函数若干方法的讨论[J].电子学报,1992(04):74-84. DOI：

Cai Xingbing. Discussion About Some Methods of Statistical Linear Discriminant Functions for Pattern Recognition[J]. Acta Electronica Sinica, 1992, (4): 74-84. DOI：

摘要

本文在评述和对比了模式识别统计的线性判别函数算法后

提出了一种以Rayleigh商值为准则的动态规划方法

即统一的统计线性判别函数算法

它可以取代其他方法

可以开拓和发展新的统计算法

使这类算法规范化、实用化和统一化。

Abstract

After the methods of statistical linear discriminant function for pattern recognition have been reviewed and compared

a universal method

Unitive Statistical Linear Discriminant Function Algorithm

is proposed which applies the optimal Rayleigh Quotient as the criterion and applies the new procedure of Dynamic Programming with two optimal policies. It may replace any other methods and will develop and expand new statistical methods

making this kind of algorithms normative

practicable and unitive.

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