Abstract
An overview over a new release of the statistical software ClusCorr98 will be given. The emphasis of this software lies on an extended collection of exploratory and model-based clustering techniques with in-built validation via resampling. Using special weights of observations leads to well-known resampling techniques. By doing so, the appropriate number of clusters can be validated. As an illustration of an interesting feature of ClusCorr98, a general validation of results of hierarchical clustering based on the adjusted Rand index is recommended. It is applied to demographical data from economics. Here the stability of each cluster can be assessed additionally.
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Mucha, HJ., Bartel, HG. (2005). ClusCorr98 - Adaptive Clustering, Multivariate Visualization, and Validation of Results. In: Baier, D., Wernecke, KD. (eds) Innovations in Classification, Data Science, and Information Systems. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26981-9_6
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DOI: https://doi.org/10.1007/3-540-26981-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23221-6
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