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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3TEPCS5
Repositóriosid.inpe.br/plutao/2019/06.10.14.29   (acesso restrito)
Última Atualização2019:06.14.10.21.50 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2019/06.10.14.29.01
Última Atualização dos Metadados2020:01.06.11.35.23 (UTC) administrator
DOI10.1016/j.asoc.2019.105482
ISSN1568-4946
Rótulolattes: 0096913881679975 3 ChagasLoreSant:2019:HyHeOv
Chave de CitaçãoChagasLoreSant:2019:HyHeOv
TítuloA hybrid heuristic for the overlapping cluster editing problem
Ano2019
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho806 KiB
2. Contextualização
Autor1 Chagas, Guilherme Oliveira
2 Lorena, Luiz Antonio Nogueira
3 Santos, Rafael Duarte Coelho dos
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHMQ
3 8JMKD3MGP5W/3C9JJ4N
Grupo1 LABAC-COCTE-INPE-MCTIC-GOV-BR
2 LABAC-COCTE-INPE-MCTIC-GOV-BR
3 LABAC-COCTE-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 guilherme.chagas@inpe.br
2
3 rafael.santos@inpe.br
RevistaApplied Soft Computing
Volume81
Páginas105482
Nota SecundáriaA2_INTERDISCIPLINAR A2_ENGENHARIAS_IV A2_ENGENHARIAS_III A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_ENGENHARIAS_II B1_BIOTECNOLOGIA
Histórico (UTC)2019-06-10 14:29:01 :: lattes -> administrator ::
2019-06-10 14:43:22 :: administrator -> lattes :: 2019
2019-06-14 10:21:51 :: lattes -> administrator :: 2019
2020-01-06 11:35:23 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveOverlapping cluster editing
Cluster editing
Overlapping clustering
Hybrid heuristic
ResumoClustering problems are applicable to several areas of science. Approaches and algorithms are as varied as the applications. From a graph theory perspective, clustering can be generated by partitioning an input graph into a vertex-disjoint union of cliques (clusters) through addition and deletion of edges. Finding the minimum number of edges additions and deletions required to cluster data that can be represented as graphs is a well-known problem in combinatorial optimization, often referred to as cluster editing problem. However, many real-world clustering applications are characterized by overlapping clusters, that is, clusters that are non-disjoint. In these situations cluster editing cannot be applied to these problems. Literature concerning a relaxation of the cluster editing, where clusters can overlap, is scarce. In this work, we propose the overlapping cluster editing problem, a variation of the cluster editing where the goal is to partition a graph, also by editing edges, into maximal cliques that are not necessarily disjoint. In addition, we also present three slightly different versions of a hybrid heuristic to solve this problem. Each hybrid heuristic is based on coupling two metaheuristicsthat, together, generate a set of clusters; and one of three mixed-integer linear programming models, also introduced in this paper, that uses these clusters as input. The objective with the metaheuristics is to limit the solution exploration space in the models resolution, therefore reducing its computational time. Tests results show that the all proposed hybrid heuristic versions are able to generate good-quality overlapping cluster editing solutions. In particular, one version of the hybrid heuristic achieved, at a low computational cost, the best results in 51 of 112 randomly-generated graphs. Although the other two hybrid heuristic versions have harder to solve models, they obtained reasonable results in medium-sized randomly-generated graphs. In addition, the hybrid heuristic achieved good results identifying labeled overlapping clusters in a supervised data set experiment. Furthermore, we also show that, with our new problem definition, clustering a vertex in more than one cluster can reduce the edges editing cost.
ÁreaCOMP
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Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S1568494619302522-main.pdf
Grupo de Usuárioslattes
Grupo de Leitoresadministrator
lattes
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.54.04 2
sid.inpe.br/mtc-m21/2012/07.13.14.58.32 1
sid.inpe.br/bibdigital/2013/09.22.23.14 1
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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