| 基于BA的模糊聚类算法研究 |
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| 引用本文： | 尤加辉,贺兴时.基于BA的模糊聚类算法研究[J].西安工程科技学院学报,2013(5):680-683,693. |
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| 作者姓名： | 尤加辉 贺兴时 |
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| 作者单位： | 西安工程大学理学院,陕西西安710048 |
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| 基金项目： | 陕西省软科学基金项目（2012KRM58）;陕西省教育厅自然科学基金项目（12JK0744,11JK0188） |
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| 摘 要： | 模糊C均值聚类具有较广泛的应用，但该聚类算法本身存在容易陷入局部最优、对初始值敏感的缺点．本文提出基于蝙蝠算法与模糊c均值算法相结合的BAFCM聚类算法，并通过数值实验对比，说明BAFCM聚类效果优于FCM、PFA．
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| 关 键 词： | 蝙蝠算法 模糊C均值聚类 BAFCM 优化 |
The research of the fuzzy clustering algorithm based on BA |
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| YOU J ia-hui,HE Xing-shi.The research of the fuzzy clustering algorithm based on BA[J].Journal of Xi an University of Engineering Science and Technology,2013(5):680-683,693. |
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| Authors: | YOU J ia-hui HE Xing-shi |
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| Institution: | (School of Science, Xi＇ an Polytechnic University, Xi＇an 710048, China) |
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| Abstract: | Fuzzy C-mean clustering is widely used, but the FCM is easy to fall into local optimum shortcomings, sensitivity to the initial data. The BAFCM method is proposed,which based on the combining of the BA and FCM algorithm. Finally through the contrast of FCM, PFA, BAFCM clustering algo- rithm, it is found that the new algorithm is better than the FCM and PFA. |
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| Keywords: | bat algorithm （BA） FCM BAFCM optimalize |
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