Abstract
Many cluster algorithms only allow the calculation of a partition without the possibility of evaluating the stability or variability of the solution due to the randomness of the sample. Resampling methods as the bootstrap provide a general framework within which one can analyse the stability of the results of a cluster analysis. We use it in the context of investigating psychological concepts based on variables of a questionnaire. We propose several measures to evaluate the variability of the clustering and exemplify the approach with a study on belief-attitudes of adults.
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© 1999 Springer-Verlag Berlin · Heidelberg
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Halekoh, U., Schweizer, K. (1999). Analysis of the Stability of Clusters of Variables via Bootstrap. In: Gaul, W., Locarek-Junge, H. (eds) Classification in the Information Age. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60187-3_16
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DOI: https://doi.org/10.1007/978-3-642-60187-3_16
Publisher Name: Springer, Berlin, Heidelberg
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