[1] HAN J W,KAMBER M.数据挖掘:概念与技术[M].范明,孟小峰,译.2版.北京:机械工业出版社,2007:263-266.(HAN J W, KAMBER M. Data Mining:Concepts and Techniques[M]. FAN M, MENG X F, translated. 2nd ed. Beijing:China Machine Press, 2007:263-266.) [2] BRODER A, GARCIA-PUETO L, JOSIFOVSKI V, et al. Scalable K-means by ranked retrieval[C]//WSDM'14:Proceedings of the 7th ACM International Conference on Web Search and Data Mining. New York:ACM, 2014:233-242. [3] MIYAHAR S, MIYANOTO S. A family of algorithms using spectral clustering and DBSCAN[C]//Proceedings of the 2014 IEEE International Conference on Granular Computing. Washington, DC:IEEE Computer Society, 2014:196-200. [4] RODRIGUEZ A, LAIO A. Clustering by fast search and find of density peaks[J]. Science, 2014, 344(6191):1492-1496. [5] 邱保志,唐雅敏.快速识别密度骨架的聚类算法[J].计算机应用,2017,37(12):3482-3486.(QIU B Z, TANG Y M. Efficient clustering algorithm for fast recognition of density backbone[J]. Journal of Computer Application, 2017, 37(12):3482-3486.) [6] 蒋礼青,张明新,郑金龙,等.快速搜索与发现密度峰值聚类算法的优化研究[J].计算机应用研究,2016,33(11):3251-3254.(JIANG L Q, ZHANG M X, ZHENG J L, et al. Optimization of clustering by fast search and find of density peaks[J]. Application Research of Computers, 2016, 33(11):3251-3254.) [7] 马春来,单洪,马涛.一种基于簇中心点自动选择策略的密度峰值聚类算法[J].计算机科学,2016,43(7):255-258.(MA C L, SHAN H, MA T. Improved density peaks based clustering algorithm with strategy choosing cluster center automatically[J]. Computer Science, 2016, 43(7):255-258.) [8] BIE R, MEHMOOD R, RUAN S S, et al. Adaptive fuzzy clustering by fast search and find of density peaks[J]. Personal and Ubiquitous Computing, 2016, 20(5):785-793. [9] XU J, WANG G, DEND W. DenPEHC:density peak based efficient hierarchical clustering[J]. Information Sciences, 2016, 373(12):200-218. [10] YANG X H, ZHU Q P, HUANG Y J, et al. Parameter-free Laplacian centrality peaks clustering[EB/OL].[2017-12-05]. https://www.researchgate.net/publication/320602767_Parameter-free_Laplacian_centrality_peaks_clustering. [11] QI X, FULLER E, WU Q, et al. Laplacian centrality:a new centrality measure for weighted networks[J]. Information Sciences, 2012, 194(5):240-253. [12] YE X, LI D, HE X. An algorithm for automatic recognition of cluster centers based on local density clustering[C]//Proceedings of the 201729th Chinese Control and Decision Conference. Piscataway, NJ:IEEE, 2017:1347-1351. [13] STEIN C M. Estimation of the mean of a multivariate normal distribution[J]. Annals of Statistics, 1981, 9(6):1135-1151. |