Abstract
Clustering is a chemometrical technique, used for the grouping or classification of objects characterized by multivariate analytical data. The hierarchical and non-hierarchical algorithms are discussed. Among the hierarchical methods the average linkageand Ward’s method are preferred, while the preferred non-hierarchical method is MASLOC. The latter is the only method with a build-in rule for the selection of significant clusters. The importance of combining clustering with other multivariate techniques, such as factor analysis, is stressed.
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© 1981 Springer-Verlag/Wien
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Massart, D.L. (1981). Clustering for Microanalytical Data. In: Malissa, H., Grasserbauer, M., Belcher, R. (eds) Nature, Aim and Methods of Microchemistry. Springer, Vienna. https://doi.org/10.1007/978-3-7091-8630-5_16
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DOI: https://doi.org/10.1007/978-3-7091-8630-5_16
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-81653-0
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