Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference49 articles.
1. Banerjee, A., Dhillon, I., Ghosh, J., & Merugu, S. (2004). An information theoretic analysis of maximum likelihood mixture estimation for exponential families. In Proc. 21st Int. Conf. Machine Learning (pp. 57–64). Banff, Canada.
2. Banerjee, A., Dhillon, I., Sra, S., & Ghosh, J. (2003). Generative model-based clustering of directional data. In Proc. 9th ACM SIGKDD Int. Conf. Knowledge Discovery Data Mining (pp. 19–28).
3. Banfield, J. D., & Raftery, A. E. (1993). Model-based Gaussian and non-Gaussian clustering. Biometrics, 49, 803–821.
4. Basu, S., Banerjee, A., & Mooney, R. (2002). Semi-supervised clustering by seeding. In Proc. 19th Int. Conf. Machine Learning (pp. 19–26). Sydney, Australia.
5. Basu, S., Bilenko, M., & Mooney, R. J. (2004). In A probabilistic framework for semi-supervised clustering. Proc. 10th ACM SIGKDD Int. Conf. Knowledge Discovery Data Mining pp. 59–68. Seattle, WA.
Cited by
40 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