第46卷第2期 南京理工大学学报 2022年4月 收稿日期：2021-05-14 修回日期：2022-03-08 基金项目個家重点研发计划(2018YFC0832101);天津市科技计划项目(19JCTPJC43300) 作者简介:李广明(1990-)，男，硕士，主要研究方向：情报分析、算法、大数据分, E-mail: liguangming958@ 。 引文格式:李广明，于健，[J]・南京理工大学学报, 2022,46(2) ： 192-197. 投稿网址:http:// 李广明于健张海涛基于改进近邻传播聚类挖掘算法的竞争情报研究 193 initialized. Then, the bias parameter is optimized by cuckoo search, and the bias parameter is used as cuckoo nest for training. The contour index value is set as the fitness function of cuckoo algorithm. The AP clustering operation is carried out by updating the optimized bias parameters of the nest position, and the decision and potential matrix of the AP algorithm are constandy updated. Finally, a stable clustering result is obtained・ Experiments show that better clustering results can be obtained by reasonably setting the parameters of cuckoo host discovery probability, moving step size and damping factor of AP algorithm. Compared with the common competitive intelligence clustering algorithms, the improved AP clustering algorithm can obtain higher contour index values and the shortest Eucli
