An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods
文献类型:会议论文
作者 | Liu Y(刘洋); Hu KY(胡琨元)![]() ![]() |
出版日期 | 2014 |
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 |
关键词 | data clustering bio-inspired computing optimization algorithm Kernel Fuzzy C-Means Algorithm Artificial Bee Colony |
页码 | 115-118 |
中文摘要 | 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. |
收录类别 | EI |
产权排序 | 1 |
会议录 | Electronics, Information Technology and Intellectualization - International Conference on Electronics, Information Technology and Intellectualization, EITI 2014
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会议录出版者 | Taylor & Francis Group |
会议录出版地 | London |
语种 | 英语 |
ISBN号 | 978-1-138-02741-1 |
源URL | [http://ir.sia.cn/handle/173321/20081] ![]() |
专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
推荐引用方式 GB/T 7714 | Liu Y,Hu KY,Zhu YL,et al. An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods[C]. 见:International Conference on Electronics, Information Technology and Intellectualization, EITI 2014. Shenzhen, China. August 16-17, 2014. |
入库方式: OAI收割
来源:沈阳自动化研究所
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