Abstract
This work describes the hierarchical classification procedure called ‘fuzzy average linkage’ which provides a fuzzy partition of a group of units. The basic principle is that the average similarity of units linked to the same group must be greater than or equal to a certain pre-set similarity level. This method is applied to mortality rates by cause of death for men and women in the 1970s, 1980s and 1990s.
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© 1999 Springer-Verlag Berlin · Heidelberg
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Cerbara, L. (1999). Hierarchical Fuzzy Clustering: An Example of Spatio-Temporal Analysis. In: Vichi, M., Opitz, O. (eds) Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60126-2_6
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DOI: https://doi.org/10.1007/978-3-642-60126-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65633-3
Online ISBN: 978-3-642-60126-2
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