高等学校化学学报 ›› 1998, Vol. 19 ›› Issue (7): 1049.

• 论文 • 上一篇    下一篇

一种模式分类降维策略及其在复杂化学信息处理中的应用

陈德钊, 陈亚秋, 高源, 林继雄, 胡上序   

  1. 浙江大学化学工程系, 杭州, 310027
  • 收稿日期:1997-08-18 出版日期:1998-07-24 发布日期:1998-07-24
  • 通讯作者: 陈德钊,男,52岁,高工.
  • 作者简介:陈德钊,男,52岁,高工.
  • 基金资助:

    浙江省自然科学基金(批准号:295027)资助课题.

A Strategy of Dimension Compressing in Pattern Classifications and Its Applications to Processing Complex Chemical Information

CHEN De-Zhao, CHEN Ya-Qiu, GAO Yuan, LIN Ji-Xiong, HU Shang-Xu   

  1. Department of Chemical Engineering, Zhejiang University, Hangzhou, 310027
  • Received:1997-08-18 Online:1998-07-24 Published:1998-07-24

摘要: 采用分类相关分析方法处理复杂化学信息的模式分类问题。从高维模式中提取的分类相关成分,它们相互独立,并集中了原有模式的分类信息。提出由相关量份额选择分类相关成分,计算简便,用以替代原模式,可以显著地降维,使问题简化,分类效果良好。该方法应用于天然留兰香油多类判别,结果良好。

关键词: 复杂化学信息, 模式分类, 降维, 分类相关成分, 相关量份额

Abstract: A new correlative component analysis method was adopted to deal with the pattern classification problems of the complex chemical information. The classification correlation components obtained from the patterns of high dimensionality are not only mutually independent, but also concentrate pattern classification information from the original patterns. In order to select a reasonable number of components, an algorithm was proposed in this study, named ratio of correlative index method, in which the necessary number of components is fixed as the correlative components are calculated. Therefore, the original pattern was transformed to a compressed new pattern of lower dimensionality, and the characteristics of the new pattern was improved, thus the classification effectiveness was improved either. Finally, multi-classes example of spearmint essence was applied to check the validity of this new method. The results showed that, the calculation of this new method is really convenient and it is an applied method for multi classes classification problem of complex chemical information backgrounds.

Key words: Complex chemical information, Pattern classification, Dimension compressing, Classification correlative component, Ratio of correlative index

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