Abstract
As an explorative technique, cluster analysis provides a description or a reduction in the dimension of the data. It classifies a set of observations into two or more mutually exclusive unknown groups based on combinations of many variables. Its aim is to construct groups in such a way that the profiles of objects in the same groups are relatively homogenous whereas the profiles of objects in different groups axe relatively heteregoneous.
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Mucha, HJ., Sofyan, H. (2000). Cluster Analysis. In: XploRe® — Application Guide. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57292-0_9
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DOI: https://doi.org/10.1007/978-3-642-57292-0_9
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