参考文献/References:
[1] BASU S,BANERJEE A,MOONEY R J. Semi-supervised clustering by seeding[C]//Nineteenth International Conference on Machine Learning. San Fransisco,USA:Morgan Kaufmann Publishers Inc,2002:19-26.
[2]WAGSTAFF K,CARDIE C. Clustering with instance-level constraints[C]//Seventeenth International Conference on Machine Learning. Stanford,CA,USA,2000:1103-1110.
[3]王玲,薄列峰,焦李成. 密度敏感的半监督谱聚类[J]. 软件学报,2007,18(10):2412-2422.
WANG L,BO L F,JIAO L C. Density-sensitive semi-supervised spectral clustering[J]. Journal of software,2007,18(10):2412-2422.(in Chinese)
[4]尹学松,胡恩良,陈松灿. 基于成对约束的判别型半监督聚类分析[J]. 软件学报,2008,19(11):2791-2802.
YIN X S,HU E L,CHEN S C. Discriminative semi-supervised clustering analysis with pairwise constraints[J]. Journal of software,2008,19(11):2791-2802.(in Chinese)
[5]肖宇,于剑. 基于近邻传播算法的半监督聚类[J]. 软件学报,2008,19(11):2803-2813.
XIAO Y,YU J. Semi-supervised clustering based on affinity propagation algorithm[J]. Journal of software,2008,19(11):2803-2813.(in Chinese)
[6]方玲,陈松灿. 结合特征偏好的半监督聚类学习[J]. 计算机科学与探索,2015,9(1):105-111.
FANG L,CHEN S C. Semi-supervised clustering learning combined with feature preferences[J]. Journal of frontiers of computer science and technology,2015,9(1):105-111.(in Chinese)
[7]张俊溪,吴晓军,蒋江红. 复杂分布数据的半监督阶段聚类[J]. 计算机科学与探索,2016,10(7):1003-1009.
ZHANG J X,WU X J,JIANG J H. Semi-supervised stage clustering for complex distribution data[J]. Journal of frontiers of computer science and technology,2015,10(7):1003-1009.(in Chinese)
[8]高莹,刘大有,齐红,等. 一种半监督K均值多关系数据聚类算法[J]. 软件学报,2008,19(11):2814-2821.
GAO Y,LIU D Y,QI H,et al. Semi-supervised K-means clustering algorithm for multi-type relational data[J]. Journal of software,2008,19(11):2814-2821.(in Chinese)
[9]BASU S,BANERJEE A,MOONEY R J. Active semi-supervision for pairwise constrained clustering[C]//Proceedings of the SIAM International Conference on Data Mining. Lake Buena Vista,FL,2004:333-344.
[10]XIONG S,AZIMI J,FERN X Z. Active learning of constraints for semi-supervised clustering[J]. IEEE transactions on knowledge and data engineering,2013,26(1):43-54.
[11]GREENE D,CUNNINGHAM P. Constraint selection by committee:an ensemble approach to identifying informative constraints for semi-supervised clustering[M]//Machine Learning:ECML 2007. Berlin Heidelberg:Springer-Verlag,2007:140-151.
[12]HUANG R,LAM W. Semi-supervised document clustering via active learning with pairwise constraints[C]//IEEE International Conference on Data Mining. Omaha,Nebraska,USA:IEEE,2007:517-522.
[13]MALLAPRAGADA P K,JIN R,JAIN A K. Active query selection for semi-supervised clustering[C]//International Conference on Pattern Recognition. Anchorage,AK,USA:IEEE,2008:1-4.
[14]XU Q,DESJARDINS M,WAGSTAFF K L. Active constrained clustering by examining spectral eigenvectors[C]//International Conference on Discovery Science. Berlin Heidelberg:Springer-Verlag,2005:294-307.
[15]WU M R,SCHOLKOPF B. A local learning approach for clustering[C]//Proceedings of the Conference on Neural Information Processing Systems. Cambridge,MA,USA:MIT Press,2006:1529-1536.
[16]ASUNCION A,NEWMAN D. UCI machine learning repository[EB/OL][2014-02-18]. http://www.ics.uci.edu/～mlearn/MLRepository.html.