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A new approach for data clustering using hybrid artificial bee colony algorithm
Yan XH(晏晓辉); Zhu YL(朱云龙); Zou WP(邹文平); Wang L(王亮)
Department信息服务与智能控制技术研究室
Source PublicationNeurocomputing
ISSN0925-2312
2012
Volume97Issue:0Pages:241-250
Indexed BySCI ; EI
EI Accession number20123515378821
WOS IDWOS:000309318200026
Contribution Rank1
KeywordArtificial Intelligence Cluster Analysis Clustering Algorithms
AbstractData clustering is a popular data analysis technique needed in many fields. Recent years, some swarm intelligence-based approaches for clustering were proposed and achieved encouraging results. This paper presents a Hybrid Artificial Bee Colony (HABC) algorithm for data clustering. The incentive mechanism of HABC is enhancing the information exchange (social learning) between bees by introducing the crossover operator of Genetic Algorithm (GA) to ABC. With a test on ten benchmark functions, the proposed HABC algorithm is proved to have significant improvement over canonical ABC and several other comparison algorithms. The HABC algorithm is then employed for data clustering. Six real datasets selected from the UCI machine learning repository are used. The results show that the HABC algorithm achieved better results than other algorithms and is a competitive approach for data clustering.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence
WOS KeywordPARTICLE SWARM OPTIMIZATION ; GENETIC ALGORITHM ; PERFORMANCE ; SYSTEM
WOS Research AreaComputer Science
Citation statistics
Cited Times:78[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/9969
Collection信息服务与智能控制技术研究室
Corresponding AuthorYan XH(晏晓辉)
Affiliation1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 Shenyang, China
2.Graduate School of the Chinese Academy of Sciences, 100039 Beijing, China
Recommended Citation
GB/T 7714
Yan XH,Zhu YL,Zou WP,et al. A new approach for data clustering using hybrid artificial bee colony algorithm[J]. Neurocomputing,2012,97(0):241-250.
APA Yan XH,Zhu YL,Zou WP,&Wang L.(2012).A new approach for data clustering using hybrid artificial bee colony algorithm.Neurocomputing,97(0),241-250.
MLA Yan XH,et al."A new approach for data clustering using hybrid artificial bee colony algorithm".Neurocomputing 97.0(2012):241-250.
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