Journal of Shandong University(Engineering Science) ›› 2023, Vol. 53 ›› Issue (4): 74-82.doi: 10.6040/j.issn.1672-3961.0.2022.268

• 机器学习与数据挖掘 • Previous Articles    

A rough K-means clustering algorithm optimized by mutation firefly algorithm

LI Zhaobin1, YE Jun1,2, ZHOU Haoyan1, LU Lan1, XIE Li1   

  1. 1. College of Information Engineering, Nanchang Institute of Engineering, Nanchang 330000, Jiangxi, China;
    2. Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing(Nanchang Institute of Engineering), Nanchang 330000, Jiangxi, China
  • Published:2023-08-18

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102

CLC Number: 

  • TP391
[1] HATHAWAY R J, BEZDEK J C. Switching regression models and fuzzy clustering[J]. IEEE Transactions on Fuzzy Systems, 1993, 1(3): 195-204.
[2] KRISHNAPURAM R, KELLER J M. A possibilistic approach to clustering[J]. IEEE Transactions on Fuzzy Systems, 1993, 1(2): 98-110.
[3] PAWLAK Z. Rough sets[J]. International Journal of Information and Computer Sciences, 1982, 11(5): 341-356.
[4] LINGRAS P, WEST C. Interval set clustering of web users with rough K-means[J]. Journal of Intelligent Information Systems, 2004, 23(1): 5-16.
[5] 谢娟英,张琰,谢维信,等.一种新的密度加权粗糙K-均值聚类算法[J].山东大学学报(理学版),2010,45(7): 1-6. XIE Juanying, ZHANG Yan, XIE Weixin, et al. A novel rough K-means clustering algorithm based on the weight of density[J]. Journal of Shangdong University(Natural Science), 2010, 45(7): 1-6.
[6] 段文影,李向军,邱桃荣,等. 一种具有自适应参数的基于密度加权的粗糙K-均值算法[J]. 南昌大学学报(理科版), 2012,36(5): 498-501. DUAN Wenying, LI Xiangjun, QIU Taorong, et al. Rough K-means clustering algorithm with self-adaptive parameter and weighted-density[J]. Journal of Nanchang University(Natural Science), 2012, 36(5): 498-501.
[7] KHAN H S, AHMAD A. Cluster center initialization algorithm for K-means clustering[J]. Pattern Recognition Letter, 2004, 25( 11): 1293-1302.
[8] 马福民,孙静勇,张腾飞.考虑边界样本邻域归属信息的粗糙K-means增量聚类算法[J].控制与决策,2022,37(11):2968-2976. MA Fumin, SUN Jingyong, ZHANG Tengfei. A rough K-means incremental clustering algorithm considering neighborhood attribution information of boundary samples [J]. Control and Decision, 2022, 37(11):2968-2976.
[9] 李艳,范斌,郭劼,等.基于K-原型聚类和粗糙集的属性约简方法[J].计算机科学,2021,48(增刊1):342-348. LI Yan, FAN Bin, GUO Jie, et al. Attribute reduction method based on K-prototype clustering and rough sets[J]. Computer Science, 2021, 48(Suppl.1):342-348.
[10] 王子龙,李进,宋亚飞.基于距离和权重改进的K-means算法[J].计算机工程与应用,2020,56(23):87-94. WANG Zilong, LI Jin, SONG Yafei. Improved K-means algorithm based on distance and weight[J]. Computer Engineering and Applications,2020,56(23):87-94.
[11] 洪亮亮,罗可.改进的基于遗传算法的粗糙聚类方法[J].计算机工程与应用,2010,46(25):142-145. HONG Liangliang, LUO Ke. Improved rough clustering method based on genetic algorithm[J]. Computer Engineering and Applications, 2010, 46(25):142-145.
[12] 汤文亮,张平,汤树芳.基于精英反向学习的萤火虫K-means改进算法[J].计算机工程与设计, 2019, 40(11):3164-3169. TANG Wenliang, ZHANG Ping, TANG Shufang. An improved firefly K-means algorithm based on elite reverse learning[J]. Computer Engineering and Design,2019,40(11):3164-3169.
[13] 刘洋,王慧琴,张小红.结合蚁群算法的改进粗糙K均值聚类算法[J].数据采集与处理,2019,34(2):341-348. LIU Yang, WANG Huiqin, ZHANG Xiaohong. An improved rough K means clustering algorithm combined with ant colony algorithm[J]. Journal of Data Acquisition and Processing, 2019, 34(2):341-348.
[14] 叶廷宇,叶军,王晖,等.结合人工蜂群优化的粗糙K-means聚类算法[J].计算机科学与探索,2022,16(8):1923-1932. YE Tingyu, YE Jun, WANG Hui, et al. Rough K-means clustering algorithm combined with artificial bee colony optimization[J]. Journal of Frontiers of Computer Science and Technology, 2022, 16(8):1923-1932.
[15] KUMAR V, KUMAR D. A systematic review on firefly algorithm: past, present, and future[J]. Archives of Computational Methods in Engineering, 2021, 28(4): 3269-3291.
[16] CUI Z, CHANG Y, ZHANG J, et al. Improved NSGA-III with selection-and-elimination operator[J]. Swarm and Evolutionary Computation, 2019, 49: 23-33.
[17] PAN L, HE C, TIAN Y, et al. A classification-based surrogate-assisted evolutionary algorithm for expensive many-objective optimization[J]. IEEE Transactions on Evolutionary Computation, 2018, 23(1): 74-88.
[18] CUI Z, CAO Y, CAI X, et al. Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things[J]. Journal of Parallel and Distributed Computing, 2019, 132: 217-229.
[19] SENTHILNATH J, OMKAR S N, MANI V. Clustering using firefly algorithm: performance study[J]. Swarm and Evolutionary Computation, 2011, 1(3): 164-171.
[20] 王国胤,姚一豫,于洪.粗糙集理论与应用研究综述[J].计算机学报,2009,32(7):1229-1246. WANG Guoyin, YAO Yiyu, YU Hong. A review of rough set theory and application[J].Chinese Journal of Computers, 2009, 32(7):1229-1246.
[21] PETERS G. Outliers in rough K-means clustering[C] //International Conference on Pattern Recognition and Machine Intelligence. Berlin, Germany:Springer, 2005: 702-707.
[22] PETERS G. Some refinements of rough K-means clustering[J]. Pattern Recognition, 2006, 39(8): 1481-1491.
[23] 马福民,逯瑞强,张腾飞.基于局部密度自适应度量的粗糙K-means聚类算法[J].计算机工程与科学, 2018,40(1):184-190. MA Fumin, LU Ruiqiang, ZHANG Tengfei. Rough K-means clustering algorithm based on adaptive measure of local density[J].Computer Engineering & Science, 2018, 40(1):184-190.
[24] YANG X S. Firefly algorithms for multimodal optimization[C] / / International Symposium on Stochastic Algorithms. Berlin, Germany: Springer, 2009: 169-178.
[25] HASSAN B A. CSCF: a chaotic sine cosine firefly algorithm for practical application problems[J]. Neural Computing and Applications, 2021, 33(12): 7011-7030.
[26] 张大力,夏红伟,张朝兴,等.改进萤火虫算法及其收敛性分析[J].系统工程与电子技术,2022,44(4):1291-1300. ZHANG Dali, XIA Hongwei, ZHANG Chaoxing, et al. Improved firefly algorithm and its convergence analysis[J]. Systems Engineering and Electronics, 2022, 44(4):1291-1300.
[27] 周涛.具有自适应参数的粗糙K-means聚类算法[J].计算机工程与应用,2010,46(26):7-10. ZHOU Tao. A rough K-means clustering algorithm with adaptive parameters[J]. Computer Engineering and Applications, 2010, 46(26):7-10.
[28] 李莲,罗可,周博翔.基于粒计算的粗糙集聚类算法[J].计算机应用研究,2013,30(10):2916-2919. LI Lian, LUO Ke, ZHOU Boxiang. Rough clustering algorithm based on particle computing[J]. Application Research of Computers, 2013, 30(10):2916-2919.
[29] PETERS G. Rough clustering utilizing the principle of indifference[J]. Information Sciences, 2014, 277: 358-374.
[30] 周杨,苗夺谦,岳晓冬.基于自适应权重的粗糙K均值聚类算法[J].计算机科学,2011,38(6):237-241. ZHOU Yang, MIAO Duoqian, YUE Xiaodong. Rough K-means clustering algorithm based on adaptive weights[J]. Computer Science, 2011, 38(6):237-241.
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