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A split and merge strategy for multi-objective clustering algorithms

2025Artigo científico Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorRocha, Ana Maria A.C.
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2026-06-15T10:55:45Z
dc.date.available2026-06-15T10:55:45Z
dc.date.issued2025
dc.description.abstractComplex real-world problems require advanced models for large datasets; combining optimization and machine learning methods can enhance solution effectiveness and efficiency. This work presents an automatic bio-inspired clustering algorithm named Multi-objective Clustering Algorithm II. Through an optimization process, the algorithm autonomously determines the number of clusters, their centroids, and the optimal distribution of their elements. Furthermore, the paper also presents a split and merge strategy for clustering algorithms, with a special focus on multi-objective ones. The proposed algorithms were executed on 10 benchmark datasets, yielding satisfactory results by accurately estimating the optimal number of clusters and providing appropriate dataset partitions. These results outstand the k-means and DBSCAN algorithms results, which were used as a comparison.eng
dc.description.sponsorshipOpen access funding provided by FCT|FCCN (b-on).This work has been supported by FCT Fundação para a Ciência e Tecnologia within the R&D Units Project Scope UIDB/00319,UIDB/05757 (DOI: 10.54499/UIDB/05757, UIDP/05757) (DOI:10.54499/UIDP/05757) and Erasmus Plus KA2 within the project 2021-1-PT01-KA220-HED-000023288.
dc.identifier.citationAzevedo, Beatriz Flamia; Rocha, Ana Maria A.C.; Pereira, Ana I. (2025). A Split and Merge Strategy for Multi-objective Clustering Algorithms. SN Computer Science. ISSN 2662995X. 6:6, p. 1-21
dc.identifier.doi10.1007/s42979-025-04248-y
dc.identifier.issn2662995X
dc.identifier.urihttp://hdl.handle.net/10198/36881
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationALGORITMI Research Center
dc.relationUIDP/05757
dc.relation.ispartofSN Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCollaborative system
dc.subjectData analysis
dc.subjectMulti-objective clustering
dc.subjectPartitioning
dc.titleA split and merge strategy for multi-objective clustering algorithmseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberUIDB/00319/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleALGORITMI Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.citation.endPage21
oaire.citation.issue6
oaire.citation.startPage1
oaire.citation.titleSN Computer Science
oaire.citation.volume6
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAzevedo
person.familyNamePereira
person.givenNameBeatriz Flamia
person.givenNameAna I.
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-8527-7409
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846
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