西安工程大学学报Issue(5)：680-683,693,5.
基于 BA 的模糊聚类算法研究
The research of the fuzzy clustering algorithm based on BA
摘要
Abstract
Fuzzy C-mean clustering is widely used ,but the FCM is easy to fall into local optimum short-comings ,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 .关键词
蝙蝠算法/模糊C均值聚类/BAFCM/优化Key words
bat algorithm (BA)/FCM/BAFCM/optimalize分类
信息技术与安全科学引用本文复制引用
尤加辉,贺兴时..基于 BA 的模糊聚类算法研究[J].西安工程大学学报,2013,(5):680-683,693,5.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 （）
