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The convex hull is not only used at the end of clustering analysis for the geometric data interpretation but also used during the fuzzy data partitioning within an online sequential procedure in order to calculate the membership function. Consequently, a pure fuzzy clustering algorithm is obtained where clusters are fitted to the data distribution by means of the fuzzy membership of patterns to each cluster. The numerical results reported in the paper show the validity and the efficacy of the proposed approach with respect to other well-known clustering algorithms.<\/jats:p>","DOI":"10.1155\/2015\/265135","type":"journal-article","created":{"date-parts":[[2015,4,21]],"date-time":"2015-04-21T17:08:03Z","timestamp":1429636083000},"page":"1-13","source":"Crossref","is-referenced-by-count":10,"title":["Fuzzy Clustering Using the Convex Hull as Geometrical Model"],"prefix":"10.1155","volume":"2015","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-9901-6501","authenticated-orcid":true,"given":"Luca","family":"Liparulo","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Electronics and Telecommunications (DIET), University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184 Rome, Italy"}]},{"given":"Andrea","family":"Proietti","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Electronics and Telecommunications (DIET), 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