A bee-inspired multiobjective optimization clustering algorithm

dc.contributor.authorCruz D.
dc.contributor.authorPoliti A.
dc.contributor.authorCunha D.
dc.contributor.authorDe Castro L.N.
dc.contributor.authorMaia R.D.
dc.date.accessioned2024-03-13T00:54:43Z
dc.date.available2024-03-13T00:54:43Z
dc.date.issued2016
dc.description.abstractMultiobjective clustering techniques have been used to simul-taneously consider several complementary aspects of cluster-ing quality. They optimize more than one cluster validity index simultaneously, leading to high-quality results, and have emerged as attractive and robust alternatives for clustering problems. This paper proposes a bee-inspired multiobjective optimization algorithm to solve data clustering problems. The algorithm was run for different datasets and the results ob-tained showed high quality clusters and diversity of solutions, whilst a suitable number of clusters was automatically deter-mined.
dc.description.firstpage239
dc.description.lastpage244
dc.identifier.doi10.2316/p.2016.841-035
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36058
dc.relation.ispartofProceedings of the 15th IASTED International Conference on Intelligent Systems and Control, ISC 2016
dc.rightsAcesso Restrito
dc.subject.otherlanguageBee-inspired algorithm
dc.subject.otherlanguageClustering
dc.subject.otherlanguageMultiobjective clus-tering optimization
dc.subject.otherlanguageMultiobjective optimization
dc.titleA bee-inspired multiobjective optimization clustering algorithm
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85015446239
local.scopus.subjectBee-inspired algorithms
local.scopus.subjectCluster validity indices
local.scopus.subjectClustering
local.scopus.subjectClustering problems
local.scopus.subjectDiversity of solutions
local.scopus.subjectMulti objective
local.scopus.subjectMulti-objective clustering
local.scopus.subjectNumber of clusters
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015446239&origin=inward
Arquivos