王光宏, 蒋平. 数据挖掘综述[J]. 同济大学学报:自然科学版, 2004, 32(2):246-252. Wang Guang-hong, Jiang Ping. Survey of data mining[J]. Journal of Tongji University(Natural Science), 2004, 32(2):246-252.
[2]
刘明亮, 李雄飞, 孙涛, 等. 数据挖掘技术标准综述[J]. 计算机科学, 2008, 35(6):5-10. Liu Ming-liang, Li Xiong-fei, Sun Tao, et al. Survey of data mining technology standards[J]. Computer Science, 2008, 35(6):5-10.
[3]
Yu X, Jian Y. A new clustering algorithm based on KNN and DENClUE[C]∥Proceedings of International Conference on Machine Learning and Cybernetics, Guangzhou, China, 2005: 2033- 2038.
[4]
于智航. 改进的密度聚类算法研究[D].大连:大连理工大学, 2007. Yu Zhi-hang. Reaearch on improved clustering algorithm based on Density[D]. Dalian: Dalian University of Technology, 2007.
[5]
孙吉贵, 刘杰, 赵连宇. 聚类算法研究[J]. 软件学报, 2008, 19(1):48-61. Sun Ji-gui, Liu Jie, Zhao Lian-yu. Clustering algorithms research[J]. Journal of Software, 2008, 19(1):48-61.
[6]
张海龙, 王仁彪, 聂俊, 等. 海量数据的网格启发信息密度聚类算法[J]. 吉林大学学报:工学版, 2011, 41(Sup.2):254-258. Zhang Hai-long, Wang Ren-biao, Nie Jun, et al. Grid heuristic information density clustering algorithm based on mass data[J]. Journal of Jilin University(Engineering and Technology Edition), 2011, 41(Sup.2):254-258.
[7]
李海峰, 吴冀川, 刘建波, 等. 有限元网格剖分与网格质量判定指标[J]. 中国机械工程, 2012, 23(3): 368-377. Li Hai-feng, Wu Ji-chuan, Liu Jian-bo, et al. Finite element mesh generation and decision criteria of mesh quality[J]. China Mechanical Engineering, 2012, 23(3): 368-377.
[8]
冯少荣, 肖文俊. 一种提高DBSCAN聚类算法质量的新方法[J]. 西安电子科技大学学报, 2008, 35(3): 523-529. Feng Shao-rong, Xiao Wen-jun. New method to improve DBSCAN clustering algorithm quality[J]. Journal of Xidian University, 2008, 35(3): 523-529.
[9]
王桂芝, 王广亮. 改进的快速DBSCAN算法[J]. 计算机应用, 2009, 29(9):2505-2508. Wang Gui-zhi, Wang Guang-liang. Improved fast DBSCAN algorithm[J]. Journal of Computer Applications, 2009, 29(9):2505-2508.
[10]
孙玉芬. 基于网格方法的聚类算法研究[D]. 武汉:华中科技大学, 2006 Sun Yu-fen. Study on grid-based clustering algorithms[D].Wuhan: Huazhong University of Science and Technology, 2006.
