| 基于特征向量集的距离判别 |
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| 引用本文： | 林志兴,黄利文.基于特征向量集的距离判别[J].集美大学学报(自然科学版),2007,12(3):280-283. |
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| 作者姓名： | 林志兴 黄利文 |
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| 作者单位： | 1. 莆田学院数学系,福建,莆田,351100
2. 泉州师范学院理工学院,福建,泉州,362000 |
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| 基金项目： | 福建省自然科学基金
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莆田学院校科研和教改项目 |
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| 摘 要： | 针对距离判别在处理复杂数据时的不足,提出了一种新的判别方法,该方法的主要思想是确定各总体的特征向量集后,以样品到各总体特征向量集的最短距离为准则对样品进行属类判别.然后利用此方法对多个实例进行检验,并以回代正确率为标准与常用的判别方法进行比较.
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| 关 键 词： | 距离判别 特征向量集 最优分割 投影 有序聚类 特征向量 距离判别 Vector Character Based Discriminant Analysis 比较 标准 正确率 回代 检验 多个实例 利用 准则 最短距离 样品 思想 判别方法 复杂数据 处理 |
| 文章编号： | 1007-7405（2007）03-0280-04 |
| 修稿时间： | 2006-05-16 |
Distance Discriminant Analysis Based on Character Vector Set |
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| LIN Zhi-xing,HUANG Li-wen.Distance Discriminant Analysis Based on Character Vector Set[J].the Editorial Board of Jimei University(Natural Science),2007,12(3):280-283. |
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| Authors: | LIN Zhi-xing HUANG Li-wen |
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| Institution: | 1. Department of Mathematics, Putian University, Putian 351100, China ; 2. School of Science, Quanzhou Normal University, Quanzhou 362000, China |
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| Abstract: | A new discriminant method is put forward in the light of the drawbacks of distance discriminant analysis in handling the complex data. The method is to find character vector set of various ensembles, and then classify the sample by shortest distance from sample to character vector set of various ensembles. Many examples are checked with this method, and this method is compared with common distriminant method through the correct rate of back substitution. |
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| Keywords: | distance discriminant analysis character vector set optimum partition projection orderly cluster |
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