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The aim of this hybridization is to\nincrease the robustness and consistency of the clustering \nresults and\nto decrease the number of the heuristically defined parameters \nof these\nalgorithms to decrease the influence of the user on the \nclustering\nresults. For the analysis of the resulted fuzzy clusters a new \nfuzzy\nsimilarity measure based tool has been presented. The calculated\nsimilarities of the clusters can be used for the hierarchical\nclustering of the resulted fuzzy clusters, which information is \nuseful\nfor cluster merging and for the visualization of the clustering\nresults. 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