Monia Tlili

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Nowadays we communicate in a digital universe. In fact the amount of data (structured and unstructured) is exploding. That's what we call Big Data. The voluminous data are in the most of cases noisy and overlapping, their clustering makes critical challenges. In addition validating resulting partitions is a serious problem. In this paper we present a new(More)
Generally real data sets are naturally defined in a fuzzy context. Moreover, in real applications there is no sharp boundary between classes. Therefore, fuzzy clustering is better suited for complex real data sets to determine the best distribution. In this paper we present a new fuzzy learning approach called FMIG (Fuzzy Multilevel Interior Growing(More)
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