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Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing
Hua CS(华春生); Qi JT(齐俊桐); Han JD(韩建达); Wu, Haiyuan
Department机器人学研究室
Source PublicationIEICE Transactions on Information and Systems
ISSN0916-8532
2014
VolumeE97-DIssue:9Pages:2423-2433
Indexed BySCI ; EI
EI Accession number20143718151760
WOS IDWOS:000342784600023
Contribution Rank1
KeywordClassification Image Processing Reliability
AbstractIn this paper, we introduced a novel Kernel-Reliabilitybased K-Means (KRKM) clustering algorithm for categorizing an unknown dataset under noisy condition. Compared with the conventional clustering algorithms, the proposed KRKM algorithm will measure both the reliability and the similarity for classifying data into its neighbor clusters by the dynamic kernel functions, where the noisy data will be rejected by being given low reliability. The reliability for classifying data is measured by a dynamic kernel function whose window size will be determined by the triangular relationship from this data to its two nearest clusters. The similarity from a data item to its neighbor clusters is measured by another adaptive kernel function which takes into account not only the similarity from data to clusters but also that between its two nearest clusters. The main contribution of this work lies in introducing the dynamic kernel functions to evaluate both the reliability and similarity for clustering, which makes the proposed algorithm more efficient in dealing with very strong noisy data. Through various experiments, the efficiency and effectiveness of proposed algorithm have been confirmed. Copyright © 2014 The Institute of Electronics, Information and Communication Engineers.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS Research AreaComputer Science
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15257
Collection机器人学研究室
Corresponding AuthorQi JT(齐俊桐)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110179, China
2.Faculty of System Engineering, Wakayama University, Wakayama-shi, 640-8510, Japan
Recommended Citation
GB/T 7714
Hua CS,Qi JT,Han JD,et al. Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing[J]. IEICE Transactions on Information and Systems,2014,E97-D(9):2423-2433.
APA Hua CS,Qi JT,Han JD,&Wu, Haiyuan.(2014).Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing.IEICE Transactions on Information and Systems,E97-D(9),2423-2433.
MLA Hua CS,et al."Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing".IEICE Transactions on Information and Systems E97-D.9(2014):2423-2433.
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