Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/94273
Type: Artigo de periódico
Title: A Fractal Fuzzy Approach To Clustering Tendency Analysis
Author: Peres S.M.
Netto M.L.A.
Abstract: A hybrid system WELS implemented with the combination of Fractal Dimension Theory and Fuzzy Approximate Reasoning, in order to analyze datasets. In this paper, we describe its application in the initial phase of clustering methodology: the clustering tendency analysis. The Box-Counting Algorithm is carried out on a dataset, and with its resultant curve one obtains numeric indications related to the features of the dataset. Then, a fuzzy inference system acts upon these indications and produces information which enable the analysis mentioned above. © Springer-Verlag 2004.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-35048835290&partnerID=40&md5=a46d4746e8b3d8cebe11f834601b3b72
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

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