[1]
FENG Xiao-Pu, ZHANG Tie-Feng. Comparison of Four Clustering Methods[J]. Microcomputer & Its Applications, 2010, 29(16): 1-3.
Google Scholar
[2]
CHEN Xin-Quan. A Two-Phase Clustering Algorithm Based On Near Neighbor Connection For Mixed Data Set [J]. Computer Engineering & Science, 2012, 34(9): 135-142.
Google Scholar
[3]
HU Ting-Ting. Discussion of Improving Fuzzy K-means Clustering[D]. Guangzhou: Zhong-Shan University, (2010).
Google Scholar
[4]
TANG Guang-Ze, WANG Jin, LI Cai-Ling, KONG Shuai. Study On The Classification Of Load Characteristics Based On Ward[J]. Journal of Electric Power, 2008, 23(6): 470-473.
Google Scholar
[5]
YANG Zheng, LI Xin-Ran, CHEN Hui-Hua, SONG Jun-Ying. Application of Data Mining Based On Density Gradient In Load Dynamic Characteristic Aggregate [J]. Proceedings of the CSU-EPSA, 2010, 22(2): 41-47.
Google Scholar
[6]
LV Liang, ZHAO Guang-Zhou, XU Lei. Training set selection of SVM based on SVC[J]. Journal of Jiang-Nan University(natural Science Edition), 2008, 6: 327-329.
Google Scholar
[7]
Song Yuan. Some problems of determining the optimal number of clusters in clustering analysis[D]. Yanji: Yan-Bian University, (2013).
Google Scholar
[8]
ZHANG Zhong-Ping, WANG Ai-Jie, CHAI Xu-Guang. Easy and efficient algorithm to determine number of clusters, 2009, 45(15): 166-168.
Google Scholar
[9]
TAN Jian-Hao, ZHANG Jing, LI Wei-Xiong. Application of density distribution function in clustering algorithms[D]. Electrical and Information Engineering College, 2010, 28(12): 1791-1796.
Google Scholar
[10]
YANG Yan, JIN Fan, KAMEL Mohamed. Survey of clustering validity evaluation[J]. Application Research of Computer, 2008, 25(6): 1630-1632+1638.
Google Scholar
[11]
SHI Pei-Bei. Research of clustering algorithm in data mining[D]. Wuxi: Jiang-Nan University, (2008).
Google Scholar