Abstract
Some of the most important cluster analysis techniques are available in the interactive statistical computing environment XploRe. Furthermore, new adaptive clustering methods can be carried out. They seem to be a little bit intelligent because of their ability for learning the appropriate distance measures. Moreover, adaptive distances should also be used in order to obtain multivariate plots (Mucha 1992). In that way, both the interpretation of clustering results and highly interactive work becomes much easier.
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References
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© 1994 Springer-Verlag Berlin Heidelberg
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Mucha, HJ. (1994). Clustering in an Interactive Way. In: Dutter, R., Grossmann, W. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-52463-9_16
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DOI: https://doi.org/10.1007/978-3-642-52463-9_16
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0793-6
Online ISBN: 978-3-642-52463-9
eBook Packages: Springer Book Archive