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dc.contributor.authorAmelio, Lucioen
dc.contributor.authorJanković, Radmilaen
dc.contributor.authorAmelio, Alessiaen
dc.date.accessioned2020-04-27T10:55:19Z-
dc.date.available2020-04-27T10:55:19Z-
dc.date.issued2019-02-01en
dc.identifier.isbn978-153863731-9en
dc.description.abstractThis paper explores the use of a new dissimilarity measure for clustering image databases with a special focus on dermoscopic images. It considers the area of the largest square sub-matrices approximately matching in the two images for computing their dissimilarity. A variant of the K-medoids approach is proposed using the new dissimilarity measure in the optimisation function. An experiment compares the proposed clustering approach with other six well-known methods in terms of F-Normalised Mutual Information, Adjusted Rand Index, Jaccard index, and purity, on a dermoscopic image database characterised by 12 skin diseases. The obtained results show that the new clustering approach is very promising in clustering dermoscopic image databases versus the other competing approaches, which is a valid support in speeding up the medical diagnosis process.en
dc.publisherIEEE-
dc.relationDevelopment of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education-
dc.relation.ispartof9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018en
dc.titleA new dissimilarity measure for clustering with application to dermoscopic imagesen
dc.typeConference Paperen
dc.relation.conference9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018; Technological Educational Institute of Ionian Islands Zakynthos; Greece; 23 July 2018 through 25 July 2018-
dc.identifier.doi10.1109/IISA.2018.8633672en
dc.identifier.scopus2-s2.0-85062817220en
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Paper-
crisitem.author.orcid0000-0003-3424-134X-
crisitem.project.projectURLhttp://www.mi.sanu.ac.rs/novi_sajt/research/projects/044006e.php-
crisitem.project.fundingProgramNATIONAL HEART, LUNG, AND BLOOD INSTITUTE-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NIH/NATIONAL HEART, LUNG, AND BLOOD INSTITUTE/5R01HL044006-04-
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