正在加载图片...
(曹英杰,张建良,国宏伟,等.基于TwoStep算法的国丰1号高炉操作炉型聚类分析与应用.钢铁,2013, 4810:17.) [16]Chen L K,Li J.Development and application of blast furnace expert system with self-learning function based on pattern recognition.Journal of Southeast University (Natural Science Edition),2012,42(S1):117. (陈令坤,李佳.基于模式识别的自学习型高炉治炼专家系统的开发与应用.东南大学学报(自然科学版), 2012.42(S1:117.) [17]Wu S,Zhen X C,Guo H W.Application of Data Mining Technique in Blast Furnace Profile Management// Industrial Engineering Branch of The Chinese Institute of Electronics,2006:4. (武森郑锡村,国宏伟.数据挖掘技术在高炉炉型管理中的应用∥中国电子学会工业工程分会,2006:4) [18]Francisco A.Garcia,Pascual Campoy,Javier.Mochon,et al.A New "User-friendly"Blast Furnace Advisory Control System Using a Neural Network Temperature Profile Classifier. ISI International,2010,50(5):8. [19]Saxena,Prasad,Lavanya,et al.Classification of above burden profile OM and k- means.Ironmaking Steelmaking,2007,34(1):5. [20]V elmurugan T,Santhanam T.A survey of partition based clustering algorithms in data mining:an experimental approach.Information Technology Journal.2011,10:478-484 [211 Carlsson G.Memoli F.Characterization,stability and convergence of hierarchical clusteringmethods. Journal of Machine Learning Research,2010.11:1425-1470. [22]Jiang B,Pei J,Tao Y,et al.Clustering Uncertain Data Based on Probability Distribution Similarity.IEEE Transactions on Knowledge Data Engineering,2013 25(4: 7514763. 123]Al-Shammary D,Khalil I,Tari Z.A distributed aggregation and fast fractal clustering approach for SOAP traffic.Journal of Network and Computer Applications 2014.41:1-14. 124]Mcnicholas P D,Brendan M T.Model-based clustering of microarray expression data via latent Gaussian mixture models.Bioinformatics,2010(21):2705-2712. 125]D Xu,Tian Y.A Comprehensive Survey of Clustering Algorithms.Annals of Data Science,2015,2(2):165- 193. 126]Zhang H Y,Du WF,Wu L F Split K-Menas clustering algorithm based on density weighting.Computer Simulation,2021,38(4):254 (张鸿雁,杜文锋,武丽湖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 HH,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-meas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 understa d and interpret cluster solutions.In.J.of Data Analysis Techniques and Srrategies,2017,93) 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 Newsle.1ter,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(1l):少5.) [32]Gao X.Research on improved K-mens algorithm and new cluster validity index [Dissertation].Anhui:Anhui(曹英杰, 张建良, 国宏伟, 等. 基于 TwoStep 算法的国丰 1 号高炉操作炉型聚类分析与应用. 钢铁, 2013, 48(10): 17.) [16] Chen L K, Li J. Development and application of blast furnace expert system with self-learning function based on pattern recognition. Journal of Southeast University (Natural Science Edition), 2012, 42(S1): 117. (陈令坤, 李佳. 基于模式识别的自学习型高炉冶炼专家系统的开发与应用. 东南大学学报(自然科学版), 2012, 42(S1): 117.) [17] Wu S, Zhen X C, Guo H W. Application of Data Mining Technique in Blast Furnace Profile Management// Industrial Engineering Branch of The Chinese Institute of Electronics, 2006: 4. (武森,郑锡村,国宏伟. 数据挖掘技术在高炉炉型管理中的应用//中国电子学会工业工程分会,2006:4.) [18] Francisco A. García, Pascual Campoy, Javier. Mochón, et al. A New “User-friendly” Blast Furnace Advisory Control System Using a Neural Network Temperature Profile Classifier. ISIJ International, 2010, 50(5): 8. [19] Saxena, Prasad, Lavanya, et al. Classification of above burden profile using SOM and k – means. Ironmaking & Steelmaking, 2007, 34(1): 5. [20] V elmurugan T, Santhanam T. A survey of partition based clustering algorithms in data mining: an experimental approach. Information Technology Journal, 2011, 10: 478–484. [21] Carlsson G, Mémoli F. Characterization, stability and convergence of hierarchical clusteringmethods. Journal of Machine Learning Research, 2010, 11: 1425–1470. [22] Jiang B, Pei J, Tao Y, et al. Clustering Uncertain Data Based on Probability Distribution Similarity. IEEE Transactions on Knowledge & Data Engineering, 2013, 25(4): 751-763. [23] Al-Shammary D, Khalil I, Tari Z. A distributed aggregation and fast fractal clustering approach for SOAP traffic. Journal of Network and Computer Applications, 2014, 41: 1–14. [24] Mcnicholas P D, Brendan M T. Model-based clustering of microarray expression data via latent Gaussian mixture models. Bioinformatics, 2010(21): 2705-2712. [25] D Xu, Tian Y. A Comprehensive Survey of Clustering Algorithms. Annals of Data Science, 2015, 2(2): 165- 193. [26] Zhang H Y, Du W F, Wu L F. Split K-Menas clustering algorithm based on density weighting. Computer Simulation, 2021, 38(4): 254. (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
<<向上翻页向下翻页>>
©2008-现在 cucdc.com 高等教育资讯网 版权所有