Hierarchical cluster analysis with stopping rules built on Akaike's information criterion for aerosol particle classification based on electron probe X-ray microanalysis

Abstract

The interpretation of the results of hierarchical cluster analysis depends very much on the correct choice of the number of clusters. An approach based on the application of the Akaike information criterion is proposed. Examples of the classification of Lake Baikal aerosol particles based on the clustering of electron probe X-ray microanalysis data are given. Bondarenko, I., Van Malderen, H, Treiger, B., Van Espen, P. and Van Gricken, R., 1994. Hierarchical cluster analysis with stopping rules built on Akaike's information criterion for aerosol particle classification based on electron probe X-ray microanalysis. Chemometrics and Intelligent Laboratory Systems, 22: 87–95.