| An enhanced Kernel Fuzzy C-Means Algorithm based on bio-inspired computing methods | |
Liu Y(刘洋); Hu KY(胡琨元) ; Zhu YL(朱云龙); Chen HN(陈瀚宁)
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| Department | 信息服务与智能控制技术研究室 |
| Conference Name | International Conference on Electronics, Information Technology and Intellectualization, EITI 2014 |
| Conference Date | August 16-17, 2014 |
| Conference Place | Shenzhen, China |
| Source Publication | Electronics, Information Technology and Intellectualization - International Conference on Electronics, Information Technology and Intellectualization, EITI 2014 |
| Publisher | Taylor & Francis Group |
| Publication Place | London |
| 2014 | |
| Pages | 115-118 |
| Indexed By | EI |
| EI Accession number | 20153501217505 |
| Contribution Rank | 1 |
| ISBN | 978-1-138-02741-1 |
| Keyword | Data Clustering Bio-inspired Computing Optimization Algorithm Kernel Fuzzy C-means Algorithm Artificial Bee Colony |
| Abstract | 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. |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/20081 |
| Collection | 信息服务与智能控制技术研究室 |
| Affiliation | Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China |
| Recommended Citation 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]. London:Taylor & Francis Group,2014:115-118. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| An enhanced Kernel F（2371KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Download | ||
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