[1] CHEN M S, HAN J, YU P S.Data mining:an overview from a database perspective[J].IEEE Transactions on Knowledge & Data Engineering, 2002, 8(6):866-883. [2] JAIN A K, MURTY M N, FLYNN P J.Data clustering:a review[J].ACM Computing Surveys, 1999, 31(3):264-323. [3] ESTER M.A density-based algorithm for discovering clusters in large spatial databases with noise[EB/OL].[2020-12-05].https://www.cs.upc.edu/~bejar/URL/material_art/DM%20clustring%20DBSCAN%20kdd-96.pdf. [4] RODRIGUEZ A, LAIO A.Clustering by fast search and find of density peaks[J].Science, 2014, 344(6191):1492-1496. [5] 吴辰文, 魏立鑫, 刘晓光.一种改进节点凝聚度的密度峰值聚类算法[J].小型微型计算机系统, 2020, 41(7):1427-1432. WU C W, WEI L X, LIU X G.Density peak clustering algorithm for improved node aggregation[J].Journal of Chinese Computer Systems, 2020, 41(7):1427-1432.(in Chinese) [6] ZENG X, CHEN A, ZHOU M.Color perception algorithm of medical images using density peak based hierarchical clustering[J].Biomedical Signal Processing and Control, 2019, 48:69-79. [7] WANG B, ZOU Y, ZHANG J, et al.Multidocument summarization via LDA and density peaks based sentence level clustering[C]//Proceedings of International Symposium on Intelligence Computation and Applications.Berlin, Germany:Springer, 2017:12-23. [8] DU M, DING S, JIA H.Study on density peaks clustering based on K-nearest neighbors and principal component analysis[J].Knowledge-Based Systems, 2016, 99:135-145. [9] PARMAR M, WANG D, ZHANG X, et al.REDPC:a residual error based density peak clustering algorithm[J].Neurocomputing, 2019, 348(5):82-96. [10] LIU R, WANG H, YU X.Shared-nearest-neighbor-based clustering by fast search and find of density peaks[J].Information Sciences, 2018, 450:200-226. [11] XIE J, GAO H, XIE W, et al.Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors[J].Information Sciences:An International Journal, 2016, 354(C):19-40. [12] CHENG D, ZHU Q, HUANG J, et al.Natural neighbor-based clustering algorithm with density peeks[C]//Proceedings of International Joint Conference on Neural Networks.Washington D.C., USA:IEEE Press, 2016:125-163. [13] HOU J, ZHANG A, QI N.Density peak clustering based on relative density relationship[J].Pattern Recognition, 2020, 108(8):107554. [14] FLORES K G, GARZA S E.Density peaks clustering with gap-based automatic center detection[J].Knowledge-Based Systems, 2020, 206:106350. [15] ZHOU L, PEI C.Delta-density based clustering with a divide-and-conquer strategy[M].[S.l.]:Elsevier Science Inc., 2016. [16] QIAO D, LIANG Y, JIAO L.Boundary detection based density peaks clustering[J].IEEE Access, 2019, 7:152755-152765. [17] XU X, DING S, WANG L, et al.A robust density peaks clustering algorithm with density sensitive similarity[J].Knowledge-Based Systems, 2020, 200:106028. [18] 周伟杰, 张宏如, 党耀国, 等.新息优先累加灰色离散模型的构建及应用[J].中国管理科学, 2017, 25(8):140-148. ZHOU W J, ZHANG H R, DANG Y G, et al.New information priority accumulated grey discrete model and its application[J].Chinese Journal of Management, 2017, 25(8):140-148.(in Chinese) [19] TAN P N, STEINBACH M, KUMAR V.数据挖掘导论[M].范明, 范宏建, 译.北京:人民邮电出版社, 2006. TAN P N, STEINBACH M, KUMAR V.Introduction to data mining[M].FAN M, FAN H J, Translation.Beijing:Posts and Telecom Press, 2006.(in Chinese) [20] 朱明.数据挖掘导论[M].合肥:中国科学技术大学出版社, 2012. ZHU M.Introduction to data mining[M].Hefei:University of Science and Technology of China Press, 2012.(in Chinese) [21] 杨燕, 靳蕃, MOHAMED K.聚类有效性评价综述[J].计算机应用研究, 2008, 25(6):1630-1632, 1638. YANG Y, JIN F, MOHAMED K.Survey of clustering validity evaluation[J].Application Research of Computers, 2008, 25(6):1630-1632, 1638.(in Chinese) |