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Rough K-means Clustering Algorithm Combined with Artificial Bee Colony Optimization

The rough K-means clustering algorithm has strong ability to deal with data with uncertain boundaries. However, this algorithm also has limitations such as sensitivity to the selection of initial clustering centers, and use of fixed weights and thresholds resulting in unstable clustering results and...

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Detalhes bibliográficos
Autor principal: YE Tingyu, YE Jun, WANG Hui, WANG Lei
Formato: Artigo
Idioma:Chinês
Publicado em: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-08-01
coleção:Jisuanji kexue yu tansuo
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Acesso em linha:http://fcst.ceaj.org/fileup/1673-9418/PDF/2012099.pdf
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