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题名:
An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods
作者: Liu Y(刘洋); Hu KY(胡琨元); Zhu YL(朱云龙); Chen HN(陈瀚宁)
作者部门: 信息服务与智能控制技术研究室
会议名称: International Conference on Electronics, Information Technology and Intellectualization, EITI 2014
会议日期: August 16-17, 2014
会议地点: Shenzhen, China
会议录: Electronics, Information Technology and Intellectualization - International Conference on Electronics, Information Technology and Intellectualization, EITI 2014
会议录出版者: Taylor & Francis Group
会议录出版地: London
出版日期: 2014
页码: 115-118
收录类别: EI
ISBN号: 978-1-138-02741-1
关键词: data clustering ; bio-inspired computing optimization algorithm ; Kernel Fuzzy C-Means Algorithm ; Artificial Bee Colony
摘要: In data analysis and data mining technique fields, one of the most widely used methods is clustering. Recently, one of the bio-inspired computing optimization algorithms called the Artificial Bee Colony (ABC) algorithm has been introduced, which has many characteristics, such as simple, robust, stochastic global optimization. In this paper, an enhancedKernel Fuzzy C-MeansAlgorithm (KFCM) based on theABC algorithm for data clustering is proposed. Compared with other popular bio-inspired computing optimization algorithms in data clustering, the results proved that the number of iterations is fewer, the convergence speed is faster and there is also a large improvement in the quality of clustering.
语种: 英语
产权排序: 1
EI收录号: 20153501217505
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/20081
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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Recommended Citation:
Liu Y,Hu KY,Zhu YL,et al. An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods[C]. International Conference on Electronics, Information Technology and Intellectualization, EITI 2014. Shenzhen, China. August 16-17, 2014.An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods.
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文件名: An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods.pdf
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