Elucidating the composition of atmospheric aerosols through the combined hierarchical, non-hierarchical and fuzzy clustering of large electron probe microanalysis data sets

被引：18

作者：

Treiger, B ^{[1
]}

Bondarenko, I ^{[1
]}

VanMalderen, H ^{[1
]}

VanGrieken, R ^{[1
]}

机构：

[1] UNIV ANTWERP,DEPT CHEM,B-2610 ANTWERP,BELGIUM

来源：

ANALYTICA CHIMICA ACTA | 1995年 / 317卷 / 1-3期

关键词：

chemometrics; cluster analysis; aerosols; environmental analysis; electron probe microanalysis;

D O I：

10.1016/0003-2670(95)00405-X

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Combined utilization of hierarchical, non-hierarchical and fuzzy clustering is introduced to find the intrinsic structure of large analytical data sets. Modified algorithms for nonhierarchical and fuzzy clustering are used. The interpretation of the results of clustering is based on the extensive use of different types of graphs. New approaches to the graphical representation of the results of fuzzy clustering are proposed. The method is applied to data of electron probe X-ray microanalysis of individual aerosol particles. The advantages of the method are shown.

引用

页码：33 / 51

页数：19

共 23 条

[1] INTERNAL MIXTURE OF SEA SALT, SILICATES, AND EXCESS SULFATE IN MARINE AEROSOLS [J].