[1] YANG Wenjuan,JIN Zixin.The research on collaborative filtering algorithm based on clustering[J].Computer Knowledge and Technology,2018,14(16):185-188.(in Chinese) 杨文娟,金子馨.基于聚类的协同过滤算法的研究[J].电脑知识与技术,2018,14(16):185-188. [2] SHI Yansong.Research on personalized recommendation system based on big data[J].Telecom World,2019,26(4):81-82.(in Chinese) 石岩松.基于大数据的个性化推荐系统研究[J].通讯世界,2019,26(4):81-82. [3] HOU Yaozu.Research on collaborative filtering recommenda-tion algorithm based on two-stage joint hashing technology[D].Hefei:Anhui Agricultural University,2018.(in Chinese) 候耀祖.基于两阶段联合哈希技术的协同过滤推荐算法研究[D].合肥:安徽农业大学,2018. [4] CHEN Lishan.Research on intrusion detection system based on K-means clustering algorithm[J].Journal of Kunming University,2017,39(3):58-62.(in Chinese) 陈丽珊.基于K-means聚类算法的入侵检测系统研究[J].昆明学院学报,2017,39(3):58-62. [5] ZHOU Bing,LI Fei,HOU Weizhao,et al.Dominant set fuzzy clustering ensemble based on cluster filtering[J].Computer & Network,2019,45(7):61-64.(in Chinese) 周冰,李飞,侯位昭,等.基于簇过滤的优势集模糊聚类集成[J].计算机与网络,2019,45(7):61-64. [6] LI Shan,ZHANG Huaxiang.Ensemble clustering method based on Bagging[J].Computer Engineering and Design,2010,31(1):164-166.(in Chinese) 李杉,张化祥.基于Bagging的聚类集成方法[J].计算机工程与设计,2010,31(1):164-166. [7] GUO Wenyan,ZHOU Jirui,ZHANG Jiaojiao.Image enhancement algorithm based on improved artificial bee colony[J].Computer Engineering,2017,43(11):261-271.(in Chinese) 郭文艳,周吉瑞,张姣姣.基于改进人工蜂群的图像增强算法[J].计算机工程,2017,43(11):261-271. [8] WANG Shuwei,GUO Xiuping,LIU Jia.An efficient hybrid artificial bee colony algorithm for disassembly line balancing problem with sequence-dependent part removal times[J].Engineering Optimization,2019,51(11):1920-1937. [9] XI Wanqiang,WANG Yaoyao,CHEN Bai,et al.Iterative learning control of robot based on artificial bee colony algorithm[J].Proceedings of the Institution of Mechanical Engineers,Part I:Journal of Systems and Control Engineering,2019,233(9):1221-1238. [10] KAUFMAN L,ROUSSEEUW P J.Finding groups in data:an introduction to cluster analysis[J].Applied Statistics,1991,40(3):486-487. [11] DING Chuchu,SUN Ting,ZOU Xin,et al.Epileptic brain network analysis based on Kendall’s improved synchronization algorithm[J].Journal of Physics:Conference Series,2018,1053(1):1-5. [12] HERLOCKER J L,KONSTAN J A,TERVEEN L G,et al.Evaluating collaborative filtering recommender systems[J].ACM Transactions on Information Systems(TOIS),2004,22(1):5-53. [13] CALINSKI T,HARABASZ J.A dendrite method for cluster analysis[J].Communications in Statistics-Simulation and Computation,1974,3(1):1-27. [14] CHEN S Y,STEM M,CERULLO M,et al.Predicting the risk of readmission from dehydration after ileostomy formation:the dehydration readmission after ileostomy prediction score[J].Diseases of the Colon and Rectum,2018,61(12):1410-1417. [15] ZHANG P,BIGIO B,RAPAPORT F,et al.PopViz:a Webserver for visualizing minor allele frequencies and damage prediction scores of human genetic variations[J].Bioinformatics,2018,34(24):4307-4309. [16] LI Yuanbo,CAO Han.Collaborative filtering recommendation algorithm based on PCA dimension reduction[J].Computer Technology and Development,2016,26(2):26-30.(in Chinese)李远博,曹菡.基于PCA降维的协同过滤推荐算法[J].计算机技术与发展,2016,26(2):26-30. [17] CACHEDA F,CARNEIRO V,FERNANDEZ D,et al.Comparison of collaborative filtering algorithms;limitations of current techniques and proposals for scalable,high-performance recommender systems[J].ACM Transactions on the Web,2011,5(1):161-171. [18] LALCHANDANI U R,SAHAI V,HERSBERGER K,et al.A radiologist’s guide to response evaluation criteria in solid tumors[J].Current Problems in Diagnostic Radiology,2019,48(6):576-585. [19] BOURASC,TSOGKAS V.Clustering to deal with the new user problem[C]//Proceedings of the 15th International Conference on Computational Science and Engineering.Washington D.C.,USA:IEEE Press,2012:58-65. [20] MA Hongwei,ZHANG Guangwei,LI Peng.Survey of collaborative filtering algorithms[J].Journal of Chinese Computer Systems,2009,30(7):1282-1288.(in Chinese)马宏伟,张光卫,李鹏.协同过滤推荐算法综述[J].小型微型计算机系统,2009,30(7):1282-1288. |