Computer Science ›› 2019, Vol. 46 ›› Issue (11): 247-250.doi: 10.11896/jsjkx.190800042
• Artificial Intelligence • Previous Articles Next Articles
SHEN Yan-ping1, GU Su-hang2, ZHENG Li-xia3
CLC Number:
[1]CAI Q Q,CUI H G,TANG H.Big data mining analysis method based on cloud computing[C]∥Green Energy and Sustainable Development I:Proceedings of the International Conference on Green Energy and Sustainable Development (GESD 2017).2017. [2]ZHAO Y P,XU S C.Data Hierarchical Clustering Based on Cloud Computing and Nonnegative Matrix Decomposition [J].Modern Electronic Technology,2018,41(5):56-60.(in Chinese) 赵艳萍,徐胜超.基于云计算与非负矩阵分解的数据分级聚类[J].现代电子技术,2018,41(5):56-60. [3]XIE F W.Optimal analysis of path mining for discontinuous data in cloud computing environment[J].Computer Simulation,2018,35(6):438-441.(in Chinese) 谢辅雯.云计算环境下非连续数据路径挖掘优化分析[J].计算机仿真,2018,35(6):438-441. [4]KARIMI M B,ISAZADEH A,RAHMANI A M.QoS-awareservice composition in cloud computing using data mining techniques and genetic algorithm[J].Journal of Supercomputing,2017,73(4):1-29. [5]CAO S,AN J C.Otsu image segmentation method based on improved wolf swarm optimization algorithm [J].Microelectronics and Computer,2017,34(10):16-21.(in Chinese) 曹爽,安建成.改进狼群优化算法的Otsu图像分割法[J].微电子学与计算机,2017,34(10):16-21. [6]GUPTA S,DEEP K.Random walk grey wolf optimizer for constrained engineering optimization problems[J].Computational Intelligence,2018,34(4):189-197. [7]FARIS H,ALJARAH I,AL-BETAR M A,et al.Grey wolf optimizer:a review of recent variants and applications[J].Neural Computing & Applications,2018,30(2):413-435. [8]WANG T,WANG Y,MENG L P.An improved wolf swarmsearch algorithm and its application in clustering [J].Computer Applications and Software,2016,33(12):257-263. [9]WANG F Z.Automatic segmentation of FCM image based on wolf swarm optimization [J].Control Engineering,2018(9):1727-1732. [10]LIU X J,YUAN J B,FENG F P.K-means clustering algorithm for data distribution in cloud computing environment [J].Minicomputer system,2017,38(4):712-715. [11]CHEN G L,YAN F L,PAN J H.Incremental Density Fast Clustering Algorithms for High Complexity Dynamic Data in Cloud Computing Environment [J].Computer Science,2018,45(2):287-290. [12]FENG L W,CHANG D X,DENG Y,et al.The latest clustering performance evaluation index with the farthest score [J].Journal of Intelligent Systems,2017,12(1):67-74. [13]KARUNAMBIGAI M G,AKRAM M,SIVASANKAR S,et al.Clustering Algorithm for Intuitionistic Fuzzy Graphs[J].International Journal of Uncertainty,Fuzziness and Knowledge-Based Systems,2017,25(3):367-383. [14]HAI M,ZHANG Y.Performance Comparison of Clustering Algorithms on Hai Mo,Zhang You.Spark Platform [J].Computer Science,2017,44(s1):414-418. [15]GAO G S.Overview of unsupervised clustering methods for entity analysis [J].Computer Engineering and Applications,2018(7):11-19. [16]CHEN X Q,ZHOU L J,LIU Y Z.Overview of Clustering Algorithms [J].Integrated Technology,2017,6(3):41-49. |
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