A new encoding scheme for a bee-inspired optimal data clustering algorithm

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dc.contributor.authorCruz D.P.F.
dc.contributor.authorMaia R.D.
dc.contributor.authorDe Castro L.N.
dc.date.accessioned2024-03-13T01:05:33Z
dc.date.available2024-03-13T01:05:33Z
dc.date.issued2013
dc.description.abstractThe amount of data generated in different knowledge areas has made necessary the use of data mining tools capable of automatically analyzing and extracting knowledge from datasets. Clustering is one of the most important tasks in data mining and can be defined as the process of partitioning objects into groups or clusters, such that objects in the same group are more similar to one another than to objects belonging to other groups. In this context, this paper aims to propose a new encoding scheme to Copt Bees, a bee-inspired algorithm to solve data clustering problems. In this new encoding, each bee represents a prototype for the clusters. The algorithm was run for different datasets and the results obtained showed high quality clusters and diversity of solutions, whilst a suitable number of clusters was automatically determined. © 2013 IEEE.
dc.description.firstpage136
dc.description.lastpage141
dc.identifier.doi10.1109/BRICS-CCI-CBIC.2013.32
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36665
dc.relation.ispartofProceedings - 1st BRICS Countries Congress on Computational Intelligence, BRICS-CCI 2013
dc.rightsAcesso Restrito
dc.subject.otherlanguageBee-inspired algorithms
dc.subject.otherlanguageDynamic size population
dc.subject.otherlanguageOptimal data clustering
dc.subject.otherlanguageSwarm intelligence
dc.titleA new encoding scheme for a bee-inspired optimal data clustering algorithm
dc.typeArtigo de evento
local.scopus.citations8
local.scopus.eid2-s2.0-84905397802
local.scopus.subjectBee-inspired algorithms
local.scopus.subjectData-mining tools
local.scopus.subjectDiversity of solutions
local.scopus.subjectDynamic sizes
local.scopus.subjectEncoding schemes
local.scopus.subjectNumber of clusters
local.scopus.subjectOptimal data
local.scopus.subjectSwarm Intelligence
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84905397802&origin=inward
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