EXAMINING LARGE DATABASES - A CHEMOMETRIC APPROACH USING PRINCIPAL COMPONENT ANALYSIS

被引：191

作者：

MEGLEN, RR

机构：

[1] Department of Chemistry, Laboratory for Chemometrics, University of Colorado at Denver, Denver, CO 80217-3364

来源：

MARINE CHEMISTRY | 1992年 / 39卷 / 1-3期

关键词：

D O I：

10.1016/0304-4203(92)90103-H

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Principal component analysis is used to examine large multivariate databases. The graphical approach to exploratory data analysis is described and illustrated with a single example of chemical compositions data obtained on environmental dust particles. While the graphical approach to exploratory data analysis has certain advantages over the numerical procedures, the empirical approach described here should be viewed as complementary to the more robust treatments that statistical methodologies afford.

引用

页码：217 / 237

页数：21