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Abstract: In this thesis the stability behavior of fuzzy clustering algorithms for di erent distributions in the input data and in combination with di erent cluster validation algorithms is analyzed. The data consists on the one hand of two-dimensional patterns that represent locations (e.g. mobile agents) and on the other hand of high-dimensional patterns that represent text data (here Emails). Currently, stability analysis of fuzzy clustering algorithms is still an active eld of research and a... (Update)
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@misc{ for-stability,
author = "Clustering Methods For",
title = "Stability Behavior of Fuzzy",
url = "citeseer.ist.psu.edu/760724.html" }
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