[1]郭瑛洁,王士同,许小龙.基于最大间隔理论的组合距离学习算法[J].智能系统学报编辑部,2015,10(6):843-850.[doi:10.11992/tis.201504027]
 GUO Yingjie,WANG Shitong,XU Xiaolong.Learning a linear combination of distances based on the maximum-margin theory[J].CAAI Transactions on Intelligent Systems,,10():843-850.[doi:10.11992/tis.201504027]
点击复制

基于最大间隔理论的组合距离学习算法

参考文献/References:
[1] 王骏, 王士同. 基于混合距离学习的双指数模糊C均值算法[J]. 软件学报, 2010, 21(8):1878-1888. WANG Jun, WANG Shitong. Double indices FCM algorithm based on hybrid distance metric learning[J]. Journal of Software, 2010, 21(8):1878-1888.
[2] WU Lei, HOI S C H, JIN Rong, et al. Learning Bregman distance functions for semi-supervised clustering[J]. IEEE Transactions on Knowledge and Data Engineering, 2012, 24(3):478-491.
[3] XING E P, NG A Y, JORDAN M I, et al. Distance metric learning with application to clustering with side information[C]//Advances in Neural Information Processing Systems. Vancouver, Canada, 2002:521-528.
[4] HOI S C H, LIU Wei, LYU M R, et al. Learning distance metrics with contextual constraints for image retrieval[C]//Proceedings of 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, America, 2006, 2:2072-2078.
[5] GOLDBERGER J, HINTON G, ROWEIS S, et al. Neighborhood component analysis[C]//Advances in Neural Information Processing Systems. Cambridge, United Kingdom, 2005:451-458.
[6] WEINBERGER K Q, BLITZER J C, SAUL L K. Distance metric learning for large margin nearest neighbor classification[C]//Advances in Neural Information Processing Systems. Cambridge, United Kingdom, 2006:1473-1480.
[7] 王骏, 王士同, 邓赵红. 特征加权距离与软子空间学习相结合的文本聚类新方法[J]. 计算机学报, 2012, 35(8):1655-1665. WANG Jun, WANG Shitong, DENG Zhaohong. A novel text clustering algorithm based on feature weighting distance and soft subspace learning[J]. Chinese Journal of Computers, 2012, 35(8):1655-1665.
[8] WU K L, YANG M S. Alternative c-means clustering algorithms[J]. Pattern Recognition, 2002, 35(10):2267-2278.
[9] CORTES C, VAPNIK V. Support-vector networks[J]. Machine Learning, 1995, 20(3):273-297.
[10] TSANG I W H, KWOK J T Y, ZURADA J A. Generalized Core Vector Machines[J]. IEEE Transaction on Neural Networks, 2006, 17(5):1126-1140.
[11] MEI Jianping, CHEN Lihui. Fuzzy clustering with weighted medoids for relational data[J]. Pattern Recognition, 2010, 43(5):1964-1974.
[12] WAGSTAFF K, CARDIE C, ROGERS S, et al. Constrained k-means clustering with background knowledge[C]//BAR-HILLEL A, HERTZ T, SHENTAL N, et al. Proceedings of the Eighteenth International Conference on Machine Learning. Williamstown, Australia,2001:577-584.
[13] COVÕES T F, HRUSCHKA E R, GHOSH J. A study of k-means-based algorithms for constrained clustering[J]. Intelligent Data Analysis, 2013, 17(3):485-505.
[14] BEZDEK J C. Pattern recognition with fuzzy objective function algorithms[M]. New York:Plenum Press, 1981:56-57.

备注/Memo

收稿日期:2015-04-19;改回日期:。
基金项目:国家自然科学基金资助项目(61272210);江苏省自然科学基金资助项目(BK2011417,BK2011003).
作者简介:郭瑛洁,女,1991生,硕士研究生,主要研究方向为人工智能、模式识别。王士同,男,1964生,教授,博士生导师,主要研究方向为人工智能、模式识别和生物信息。许小龙,男,1989生,硕士研究生,主要研究方向为人工智能、模式识别。
通讯作者:郭瑛洁.E-mail:ying_dm@163.com.

更新日期/Last Update: 1900-01-01
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134