Author:
Wei Siting,Li Zhixin,Zhang Canlong
Funder
National Natural Science Foundation of China (CN)
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference38 articles.
1. Wu L, Hoi S C H, Jin R, Zhu J, Yu N (2010) Learning bregman distance functions for semi-supervised clustering. IEEE Trans Knowl Data Eng 24(3):478–491
2. Strehl A, Ghosh J, Cardie C (2003) Cluster ensembles—a knowledge reuse framework for combining multiple partitions. J Mach Learn Res 3:583–617
3. Du L, Shen YD, Shen Z, Wang J, Xu Z (2013) A self-supervised framework for clustering ensemble. Lect Notes Comput Sci 7923:253–264
4. Hao ZF, Wang LJ, Cai RC, Wen W (2015) An improved clustering ensemble method based link analysis. World Wide Web-internet & Web. Inform Syst 18(2):185–195
5. Yu Z, Chen H, You J, Wong HS, Liu J, Li L et al (2014) Double selection based semi-supervised clustering ensemble for tumor clustering from gene expression profiles. IEEE/ACM Trans Comput Biol Bioinform 11(4):727–740
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献