Relational classifier based on optimal supervised cluster centers

CAI Wei-ling1; LEI Lei1

doi:10.13873/j.1000-97872009.04.014

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Relational classifier based on optimal supervised cluster centers

更新时间：2025-09-11

- Relational classifier based on optimal supervised cluster centers
- Vol. 28, Issue 4, Pages: 85-87(2009)
- 作者机构：
  
  1. 南京航空航天大学信息科学与技术学院
  2. 南京师范大学数学与计算机科学学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.04.014
  CLC： TP391.41
- Published：2009
- 稿件说明：
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[1]蔡维玲,雷磊.一种基于最优监督型聚类中心的关系分类器[J].传感器与微系统,2009,28(04):85-87.

CAI Wei-ling1, LEI Lei1. Relational classifier based on optimal supervised cluster centers[J]. 2009, 28(4): 85-87.
[1]蔡维玲,雷磊.一种基于最优监督型聚类中心的关系分类器[J].传感器与微系统,2009,28(04):85-87. DOI： 10.13873/j.1000-97872009.04.014.

CAI Wei-ling1, LEI Lei1. Relational classifier based on optimal supervised cluster centers[J]. 2009, 28(4): 85-87. DOI： 10.13873/j.1000-97872009.04.014.

摘要

分析了现有关系分类器分类正确率低、拒识率高的原因

并在此基础上设计了一种基于最优监督型聚类中心的关系分类器。该分类器定义出以聚类中心为参数的分类损失函数

并使用遗传算法求解嵌在该函数中的最优聚类中心。实验结果证明了该分类器的有效性。

Abstract

Fuzzy relational classifier has the defect of low accuracy and high reject rate.To overcome this defect

a relational classifier based on the optimal supervised cluster centers（RC-OSCC） is designed.RC-OSCC defines a classification loss-function

and adopts the genetic algorithm to optimize the clustering centers in the loss-function.The experimental results demonstrate the effectiveness of RC-OSCC.

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