Abstract
As in other Data Analysis methods, Cluster Analysis deals with rectangular data tables, where the rows generally represent objects, organisms or individuals, while the columns are variables or characters. The aim of such methods is to uncover some latent structure of the objects in terms of groups of similar elements and possibly, in terms of a hierarchy of embedded groups.
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Roux, M. (1991). Basic Procedures in Hierarchical Cluster Analysis. In: Devillers, J., Karcher, W. (eds) Applied Multivariate Analysis in SAR and Environmental Studies. Eurocourses: Chemical and Environmental Science, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3198-8_4
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DOI: https://doi.org/10.1007/978-94-011-3198-8_4
Publisher Name: Springer, Dordrecht
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