Extraction of environmental information from large aerosol data sets through combined application of cluster and factor analyses
- 1 September 1998
- journal article
- research article
- Published by Springer Nature in Microchimica Acta
- Vol. 128 (3-4) , 191-200
- https://doi.org/10.1007/bf01243049
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- IDAS: a Windows based software package for cluster analysisSpectrochimica Acta Part B: Atomic Spectroscopy, 1996
- Elucidating the composition of atmospheric aerosols through the combined hierarchical, non-hierarchical and fuzzy clustering of large electron probe microanalysis data setsAnalytica Chimica Acta, 1995
- Individual Particle Types in the Aerosol of Phoenix, ArizonaEnvironmental Science & Technology, 1995
- Hierarchical cluster analysis with stopping rules built on Akaike's information criterion for aerosol particle classification based on electron probe X-ray microanalysisChemometrics and Intelligent Laboratory Systems, 1994
- Applied Factor Analysis in the Natural SciencesPublished by Cambridge University Press (CUP) ,1993
- Comparison and evaluation of hierarchical cluster techniques applied to automated electron probe x-ray microanalysis dataAnalytica Chimica Acta, 1992
- The effects of particle size on deposition ratesJournal of Aerosol Science, 1989
- Model Selection and Akaike's Information Criterion (AIC): The General Theory and its Analytical ExtensionsPsychometrika, 1987
- A continuous flow condensation nucleus counterJournal of Aerosol Science, 1975
- The Application of Electronic Computers to Factor AnalysisEducational and Psychological Measurement, 1960