Summary
A recently developed fuzzy clustering technique is utilized to analyze the substructure of a well known set of 4-dimensional botanical data. A solution obtained without prior knowledge of labelled pattern structure is offered in support of our contention that the technique proposed affords a comparatively reliable criterion for a posteriori evaluation of cluster validity.
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Bezdek, J.C. Numerical taxonomy with fuzzy sets. J. Math. Biology 1, 57–71 (1974). https://doi.org/10.1007/BF02339490
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DOI: https://doi.org/10.1007/BF02339490