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(张鸿雁, 杜文锋, 武丽芬. 基于密度加权的分裂式 K 均值聚类算法. 计算机仿真, 2021, 38(4): 254.) [27] Liu Y, Wu C, Zhou H H, et al. Research on optimization method based on K-means clustering algorithm, Information Technology, 2019, 43(1): 66. (刘叶, 吴晟, 周海河, 等. 基于 K-means 聚类算法优化方法的研究. 信息技术, 2019, 43(1): 66.) [28] Courtney McKim, James A. Bovaird, Chaorong Wu. Using graphical techniques from discriminant analysis to understand and interpret cluster solutions. Int. J. of Data Analysis Techniques and Strategies, 2017, 9(3): 189. [29] Yu X. Research on consensus clustering algorithm based on external validation measures [Dissertation]. Nanjing: Nanjing University of Finance & Economics, 2020. (于祥. 基于外部验证指标的一致性聚类算法研究[学位论文].南京:南京财经大学, 2020.) [30] Estivill-Castro V. Why so many clustering algorithms : A Position Paper. Acm Sigkdd Explorations Newsletter, 2002, 4(1): 65-75. [31] Guo J, Hou S. Study on the index of determining the optimal clustering number of K-means algorithm. Software Guide, 2017, 16(11): 5. (郭靖, 侯苏. K-means 算法最佳聚类数评价指标研究. 软件导刊, 2017, 16(11): 5.) [32] Gao X. Research on improved K-mens algorithm and new cluster validity index [Dissertation]. Anhui: Anhui 录用稿件,非最终出版稿