Journal of shanghai Jiaotong University (Science) ›› 2015, Vol. 20 ›› Issue (2): 164-170.doi: 10.1007/s12204-015-1605-z
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ZHAO Xiao-qiang* (赵小强), ZHOU Jin-hu (周金虎)
Online:
2015-04-30
Published:
2015-04-02
Contact:
ZHAO Xiao-qiang (赵小强)
E-mail:xqzhao@lut.cn
CLC Number:
ZHAO Xiao-qiang* (赵小强), ZHOU Jin-hu (周金虎). Improved Kernel Possibilistic Fuzzy Clustering Algorithm Based on Invasive Weed Optimization[J]. Journal of shanghai Jiaotong University (Science), 2015, 20(2): 164-170.
[1] | Krishnapuram R, Keller J M. A possibilistic approach to clustering [J]. IEEE Transactions on Fuzzy Systems, 1993, 1(2): 98-110. |
[2] | Zhang Xiang, Wang Shi-tong. Mahalanobis distancebased possibilistic clustering algorithm and its analysis[J]. Journal of Data Acquisition & Processing, 2011,26(1): 101-105 (in Chinese). |
[3] | Xie Z P, Wang S T, Chung F L. An enhanced possibilistic c-means clustering algorithm EPCM [J]. Soft Computing, 2008, 12: 593-611. |
[4] | Pal N R, Pal K, Keller J M, et al. A possibilistic fuzzy c-means clustering algorithm [J]. IEEE Transactions on Fuzzy Systems, 2005, 13(4): 517-530. |
[5] | Wu Xiao-hong, Zhou Jian-jiang. A novel possibilistic fuzzy c-means clustering [J]. Acta Electronica Sinica,2008, 36(10): 1996-2000 (in Chinese). |
[6] | Mehrabian A R, Lucas C. A novel Numerical optimization algorithm inspired from weed colonization[J]. Ecological Informatics, 2006, 1(4): 355-366. |
[7] | Roy S, Islam S M, Das S, et al. Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers [J]. Applied Soft Computing,2012, 13: 27-46. |
[8] | Han Yi, Cai Jian-hu, Li Yan-lai, et al. Invasive weed optimization and its advances [J]. Computer Science,2011, 38(3): 20-23 (in Chinese). |
[9] | Chen Huan, Zhou Yong-quan, Zhao Guang-wei.Multi-population invasive weed optimization algorithm based on chaotic sequence [J]. Journal of Computer Applications, 2012, 32(7): 1958-1961 (in Chinese). |
[10] | Han Xu-dong, Xia Shi-xiong, Liu Bing, et al. Kernelbased fast improved possibilistic c-means clustering algorithm[J]. Computer Engineering and Applications,2011, 47(6): 176-180 (in Chinese). |
[11] | Yang Miin-Shen, Wu Kuo-Lung. Unsupervised possibilistic clustering [J]. Pattern Recognition, 2006, 39:5-21. |
[12] | Zhao Xiao-qiang, Zhou Jin-hui, Yang Jia-min. A fuzzy clustering algorithm of data mining based on IWO [C]//Proceedings of the 32nd Chinese Control Conference. Xi’an, China: [s.n.], 2013: 7988-7993 (in Chinese). |
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