A particle swarm clustering algorithm with fuzzy weighted step sizes

dc.contributor.authorSzabo A.
dc.contributor.authorDelgado M.R.
dc.contributor.authorDe Castro L.N.
dc.date.accessioned2024-03-13T00:58:27Z
dc.date.available2024-03-13T00:58:27Z
dc.date.issued2015
dc.description.abstract© Springer International Publishing Switzerland 2015.This paper proposes a modification in the Fuzzy Particle Swarm Clustering (FPSC) algorithm such that membership degrees are used to weight the step size in the direction of the local and global best particles, and in its movement in the direction of the input data at every iteration. This results in the so-called Membership Weighted Fuzzy Particle Swarm Clustering (MWFPSC). The modified algorithm was applied to six benchmark datasets from the literature and its results compared to that of the standard FPSC and FCM algorithms. By introducing these modifications it could be observed a gain in accuracy, representativeness of the clusters found and the final Xie-Beni index, at the expense of a slight increase in the practical computational time of the algorithm.
dc.description.firstpage87
dc.description.lastpage95
dc.description.volume9375 LNCS
dc.identifier.doi10.1007/978-3-319-24834-9_11
dc.identifier.issn1611-3349
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36269
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsAcesso Restrito
dc.subject.otherlanguageData mining
dc.subject.otherlanguageFPSC
dc.subject.otherlanguageFuzzy clustering
dc.subject.otherlanguageParticle swarm
dc.titleA particle swarm clustering algorithm with fuzzy weighted step sizes
dc.typeArtigo de evento
local.scopus.citations2
local.scopus.eid2-s2.0-84983637846
local.scopus.subjectBenchmark datasets
local.scopus.subjectComputational time
local.scopus.subjectFCM algorithm
local.scopus.subjectFPSC
local.scopus.subjectFuzzy particle swarm
local.scopus.subjectMembership degrees
local.scopus.subjectModified algorithms
local.scopus.subjectParticle swarm
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84983637846&origin=inward
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