[1]WANG Z, LIU G, CHEN E. A K-means algorithm based on optimized initial center points [J]. Pattern Recognition and Artificial Intelligence, 2009, 22(2): 299-304. (汪中,刘贵全,陈恩红.一种优化初始中心点的K-means算法[J].模式识别与人工智能,2009,22(2):299-304.)
[2]LI C, WANG Y. New initialization method for cluster center [J]. Control Theory & Applications, 2010, 27(10): 1435-1440. (李春生,王耀南.聚类中心初始化的新方法[J].控制理论与应用,2010,27(10):1435-1440.)
[3]TAO X, XU J, YANG L, et al.Improved cluster algorithm based on K-means and particle swarm optimization [J]. Journal of Electronics & Information Technology, 2010, 32(1): 92-97. (陶新民,徐晶,杨立标,等.一种改进的粒子群和K均值混合聚类算法[J].电子与信息学报,2010,32(1):92-97.)
[4]LU B, JU F. An optimized genetic K-means clustering algorithm [C]// CSIP 2012: Proceedings of the 2012 International Conference on Computer Science and Information Processing. Piscataway: IEEE, 2012: 1296-1299.
[5]YANG S, ZHANG H. Bionic swarm intelligence and computing — Matlab technology [M]. Beijing:Publishing House of Electronic Industry, 2012: 236-243. (杨淑莹,张桦.群体智能与仿生计算——Matlab技术实现[M].北京:电子工业出版社,2012:236-243)
[6]HUANG L, LIU S, GAO W. Differential evolution with the search strategy of artificial bee colony algorithm [J]. Control and Decision, 2012, 27(11): 1644-1648. (黄玲玲,刘三阳,高卫峰.具有人工蜂群搜索策略的差分进化算法[J].控制与决策,2012,27(11):1644-1648.)
[7]GAO W, LIU S, JIAO H, et al.Particle swarm optimization with search operator of artificial bee colony algorithm [J]. Control and Decision, 2012, 27(6): 833-838. (高卫峰,刘三阳,焦合华,等.引入人工蜂群搜索算子的粒子群算法[J].控制与决策,2012,27(6):833-838.)
[8]ZHOU J, XIONG Z, ZHANG Y, et al.Multiseed clustering algorithm based on max-min distance means [J]. Journal of Computer Applications, 2006, 26(6): 1425-1427. (周涓,熊忠阳,张玉芳,等.基于最大最小距离法的多中心聚类算法[J].计算机应用,2006,26(6):1425-1427)
[9]XIONG Z, CHEN R, ZHANG Y. Effective method for clustercenters' initialization in K-means clustering [J]. Application Research of Computers, 2011, 28(11): 4188-4190. (熊忠阳,陈若田,张玉芳.一种有效的K-means聚类中心初始化方法[J].计算机应用研究,2011,28(11):4188-4190.)
[10]BABAYIGIT B, OZDEMIR R. A modified artificial bee colony algorithm for numerical function optimization [C]// ISCC 2012: Proceedings of the 2012 IEEE Symposium on Computers and Communications. Piscataway: IEEE, 2012: 000245-000249.
[11]HE D, JIA R, SHI S. An artificial bee colony optimization algorithm guided by complex method [C]// ISCID 2012: Proceedings of the 2012 Fifth International Symposium on Computational Intelligence and Design. Piscataway: IEEE, 2012, 1: 348-351.
[12]BI X, GONG R. Hybrid clustering algorithm based on artificial bee colony and K-means algorithm [J]. Application Research of Computers, 2012, 29(6): 2040-2042. (毕晓君,宫汝江.一种结合人工蜂群和 K-均值的混合聚类算法[J].计算机应用研究,2012,29(6):2040-2042.)
[13]Center for Machine Learning and Intelligent Systems. Machine learning repository [EB/OL]. [2013-09-12]. http://archive.ics.uci.edu/ml/datasets/. |