Tuning graded possibilistic clustering by visual stability analysis

WILF, pp.164-171, (2011)

Cited by: 3|Views12
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Abstract:

When compared to crisp clustering, fuzzy clustering provides more flexible and powerful data representation. However, most fuzzy methods require setting some parameters, as is the case for our Graded Possibilistic c-Means clustering method, which has two parameters in addition to number of centroids. However, for this model selection task...More

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