Computer Science ›› 2018, Vol. 45 ›› Issue (2): 226-230.doi: 10.11896/j.issn.1002-137X.2018.02.039
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NIU Lei and SUN Zhong-lin
| [1] ZHOU W B,SHI Y X.Optimization algorithm of K-means clustering center of selection based on density[J].Application Research of Computers,2012,9(5):1726-1728.(in Chinese) 周炜奔,石跃祥.基于密度K-means聚类中心选取的优化算法[J].计算机应用研究,2012,9(5):1726-1728. [2] ZHAI D H,YU J,GAO F,et al.K-means text clustering algorithm based on initial cluster centers selection according to ma-ximum distance[J].Application Research of Computers,2014,1(3):713-715,719.(in Chinese) 翟东海,鱼江,高飞,等.最大距离法选取初始簇中心的K-means文本聚类算法的研究[J].计算机应用研究,2014,1(3):713-715,719. [3] FENG B,HAO W N,CHEN G,et al.Optimization to K-means initial cluster centers[J].Computer Engineering and Applications,2013,9(14):182-185,192.(in Chinese) 冯波,郝文宁,陈刚,等.K-means算法初始聚类中心选择的优化[J].计算机工程与应用,2013,9(14):182-185,192. [4] AN J Y,YAN Z J,ZHAI J X.K-means Clustering Algorithm Based on Distance Threshold and Weighted Sample[J].Microelectronics & Computer,2015(8):135-138.(in Chinese) 安计勇,闫子骥,翟靖轩.基于距离阈值及样本加权的K-means聚类算法[J].微电子学与计算机,2015(8):135-138. [5] FU T,SUN Y M.PSO-based k-means Algorithm and its Application in Network Intrusion Detection System[J].Computer Science,2011,8(5):54-55,73.(in Chinese) 傅涛,孙亚民.基于PSO的k-means算法及其在网络入侵检测中的应用[J].计算机科学,2011,8(5):54-55,73. [6] YUE S H,WANG J S,TAO G,et al.An unsupervised grid-based approach for clustering analysis[J].Science China(Information Sciences),2010,3(7):1345-1357. [7] LI T T.The Research of K-means Clustering Algorithm-Im-provement[D].Hefei:Anhui University,2015.(in Chinese) 李婷婷.改进K-means聚类算法的研究[D].合肥:安徽大学,2015. [8] ZHANG X F,ZHANG G Z,LIU P.Improved K-means algorithm based on clustering criterion function[J].Computer Engineering and Applications,2011,7(11):123-127.(in Chinese) 张雪凤,张桂珍,刘鹏.基于聚类准则函数的改进K-means算法[J].计算机工程与应用,2011,7(11):123-127. [9] KATSAVOUNIDIS I,JAY KUO C C,ZHANG Z.A new initialization technique for generalized Lloyd iteration[J].Signal Processing Letters,1994,1(10):144-146. [10] BOUTSIDIS C,ZOUZIAS A,MAHONEY M W,et al.Rando-mized Dimensionality Reduction for k-Means Clustering[J].IEEE Transactions on Information Theory,2011,61(2):1045-1062. [11] WANG J,KE Q,et al.Fast approximate k-means via cluster closures[C]∥IEEE Conference on Computer Vision and Pattern Recognition.IEEE Computer Society,2012:3037-3044. [12] XIONG K L,PENG J J,YANG X F,et al.K-means Clustering Optimization Based on Kernel Density Estimation[J].Computer Technology and Development,2017,27(2):1-5.(in Chinese) 熊开玲,彭俊杰,杨晓飞,等.基于核密度估计的K-means聚类优化[J].计算机技术与发展,2017,27(2):1-5. [13] ZHUANG R G,NI Z B,LIU X Y.A Novel Method for Refining the Initial Points for K-means Clustering Based on Quasi-Monte Carlo Method[J].Journal of University of Jinan(Science and Technology),2017,31(1):35-41.(in Chinese) 庄瑞格,倪泽邦,刘学艺.基于拟蒙特卡洛的K均值聚类中心初始化方法[J].济南大学学报(自然科学版),2017,31(1):35-41. [14] LI M,ZHANG G Z.K-means Algorithm of Optimized InitialCenter By Density Peaks[J].Computer Applications and Software,2017,34(3):212-217.(in Chinese) 李敏,张桂珠.密度峰值优化初始中心的K-means算法[J].计算机应用与软件,2017,34(3):212-217. [15] YUAN T F.Research on Intrusion Detection Based on DataMining[D].Chengdu:University of Electronic Science and Technology of China,2014.(in Chinese) 袁腾飞.基于数据挖掘的入侵检测系统研究[D].成都:电子科技大学,2014. [16] CHENG J.The Research of Fusion Algorithms for SupportVector Machine and K-means Clustering[D].Dalian:Liaoning Normal University,2008.(in Chinese) 程佳.支持向量机与K-均值聚类融合算法研究[J].大连:辽宁师范大学,2008. [17] YU H T,JIA M J,WANG H Q,et al.K-means Clustering Algorithm Based on Artificial Fish Swarm[J].Computer Science,2012,9(12):60-64.(in Chinese) 于海涛,贾美娟,王慧强,等.基于人工鱼群的优化K-means聚类算法[J].计算机科学,2012,9(12):60-64. [18] XIAO L Z,LIU Y X,CHEN L Q.Research of Accelerating K-Means Algorithm Based on New Particle Swarm Optimization for Intrusion Detection[J].Journal of System Simulation,2014,6(8):1652-1657.(in Chinese) 肖立中,刘云翔,陈丽琼.基于改进粒子群的加速K均值算法在入侵检测中的研究[J].系统仿真学报,2014,6(8):1652-1657. |
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