基于粒度空间的最小生成树分类算法
Minimum spanning tree classification algorithm based on the granular space
[1] Lin T Y.Granular computing on binary relations I:Data mining and neighborhood systems.In:Skowron A,Polkowski L.Rough sets in knowledge discovery.Heidelberg:Physica-Verlag,1998:107-121.
[2] Lin T Y.Granular computing:Structures,representations,and applications.In:Wang G,Liu Q,Yao Y,et al.Rough sets,fuzzy sets,data mining,and granular computing.Springer Berlin Heidelberg,2003:16-24.
[3] Skowron A,Stepaniuk J.Information granules:Towards foundations of granular computing.International Journal of Intelligent Systems,2001,16(1):57-85.
[4] Zhang Y Q,Fraser M D,Gagliano R A,et al.Granular neural networks for numerical-linguistic data fusion and knowledge discovery.IEEE Transactions on Neural Networks,2000,11(3):658-667.
[5] Bargiela A,Pedrycz W.Toward a theory of granular computing for human-centered information processing.IEEE Transactions on Fuzzy Systems,2008,16(2):320-330.
[6] Zadeh L A.Fuzzy logic = computing with words.IEEE Transactions on Fuzzy Systems,1996,4(2):103-111.
[7] Pawlak Z.Rough sets and intelligent data analysis.Information Sciences,2002,147(1-4):1-12.
[8] 张 铃,张 钹.模糊商空间理论(模糊粒度计算方法).软件学报,2003,14(4):770-776.(Zhang L,Zhang B.Theory of fuzzy quotient space(methods of fuzzy granular computing).Journal of Software,2003,14(4):770-776.)
[9] Yao Y Y.Interpreting concept learning in cognitive informatics and granular computing.IEEE Transactions on Systems,Man,and Cybernetics,Part B(Cybernetics),2009,39(4):855-866.
[10] 蒙祖强,周石泉.不一致决策系统中基于粒度计算的广义决策规则获取方法研究.计算机科学,2012,39(1):198-202.(Meng Z Q,Zhou S Q.Research on method of generalized decision rule acquisition based on GrC in inconsistent decision systems.Computer Science,2012,39(1):198-202.)
[11] Panoutsos G,Mahfouf M.A neural-fuzzy modelling framework based on granular computing:Concepts and applications.Fuzzy Sets and Systems,2010,161(21):2808-2830.
[12] Skowron A,Stepaniuk J,Swiniarski R.Modeling rough granular computing based on approximation spaces.Information Sciences,2012,184(1):20-43.
[13] Pedrycz W.The design of cognitive maps:A study in synergy of granular computing and evolutionary optimization.Expert Systems with Applications,2010,37(10):7288-7294.
[14] Pedrycz W,Loia V,Senatore S.Fuzzy clustering with viewpoints.IEEE Transactions on Fuzzy Systems,2010,18(2):274-284.
[15] 陶 华,唐旭清.基于模糊邻近关系的聚类结构分析.计算机科学,2013,40(01):257-261.(Tao H,Tang X Q.Clustering structural analysis on fuzzy proximity relation.Computer Science,2013,40(01):257-261.)
[16] Theodoridis S,Koutroumbas K.Pattern recognition.The 2nd Edition.Amsterdam,Netherlands:Elsevier,2003,689.
[17] 杨淑莹.模式识别与智能计算:Matlab技术实现.第2版.北京:电子工业出版社,2011,372.(Yang S Y.Pattern recognition and intelligent computing:Matlab technology realization.The 2nd Edition.Beijing:Publishing House of Electronics Industry,2011,372.)
[18] 徐宗本.计算智能中的仿生学:理论与算法.北京:科学出版社,2003,315.(Xu Z B.Bionics in intelligent computing:Theory and algorithms.Beijing:Science Press,2003,315.)
[19] Duda R O,Hart P E,Stork D G.Pattern classification.The 2nd Edition.New York:John Wiley & Sons,2004,816.
[20] 陈 新.基于最小生成树的聚类分析方法研究.硕士学位论文.重庆:重庆大学,2013.(Chen X.Research on clustering algorithm based on minimum spanning tree.Master Dissertation.Chongqing:Chongqing University,2013.)
[21] Tang X Q,Zhu P,Cheng J X.Cluster analysis based on fuzzy quotient space.Journal of Software,2008,19(4):861-868.
[22] 唐旭清,朱 平,程家兴.基于等腰归一化距离的模糊粒度空间研究.计算机科学,2008,35(4):142-145.(Tang X Q,Zhu P,Cheng J X.Study on fuzzy granular space based on normalized equicrural metric.Computer Science,2008,35(4):142-145.)
[23] 唐旭清,方雪松,朱 平.基于模糊邻近关系的结构聚类.系统工程与理论实践,2010,30(11):1986-1997.(Tang X Q,Fang X S,Zhu P.Structural clusters based on fuzzy proximity relations.Systems Engineering-Theory & Practice,2010,30(11):1986-1997.)
[24] Tang X Q,Zhu P,Cheng J X.The structural clustering and analysis of metric based on granular space.Pattern Recognition,2010,43(11):3768-3786.
[25] 赵向梅,王艳君,刘 林.聚类算法及聚类融合算法研究.电子设计工程,2011,19(15):4-5,12.(Zhao X M,Wang Y J,Liu L.Research on clustering algorithms and clustering ensemble algorithms.Electronic Design Engineering,2011,19(15):4-5,12.)
[26] 于 剑,程乾生.模糊聚类方法中的最佳聚类数的搜索范围.中国科学(E辑),2002,32(2):274-280.
[27] 李 骏,王国俊.Gdel n值命题逻辑中命题的α-真度理论.软件学报,2007,18(1):33-39.(Li J,Wang G J.Theory of α-truth degrees in n-valued Gdel propositional logic.Journal of Software,2007,18(1):33-39.)
[28] 唐旭清,朱 平,程家兴.基于归一化距离的结构聚类分析.模式识别与人工智能,2009,22(05):678-688.(Tang X Q,Zhu P,Cheng J X.Analysis of structural clustering based on normalized metric.Pattern Recognition and Artificial Intelligence,2009,22(05):678-688.)
[29] 李 阳.基于粒计算的生物复杂系统建模和网络结构分析.硕士学位论文.无锡:江南大学,2017.(Li Y.Modeling the complex biological system and exploring its network structure based on the granular computing.Master Dissertation.Wuxi:Jiangnan University,2017.)
[30] Liu D,Shi W F,Shi Y,et al.Origin and diversity of novel avian influenza A H7N9 viruses causing human infection:Phylogenetic,structural,and coalescent analyses.The Lancet,2013,381(9881):1926-1932. 第53卷 第5期,2017年9月南京大学学报(自然科学),JOURNAL OF NANJING UNIVERSITY,(NATURAL SCIENCE)Vol.53, No.5,Sept.,2017
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