Joydeep Ghosh

See: Document Clustering Task, Normalized Mutual Information, Cluster Ensemble, K-Means.

References

(Liu et al., 2009) ⇒ Alexander Liu, Goo Jun, and Joydeep Ghosh. (2009). “A Self-training Approach to Cost Sensitive Uncertainty Sampling." Machine learning 76, no. 2-3
(Ghosh & Liu, 2009) ⇒ Joydeep Ghosh and Alexander Liu. (2009). “K-Means.” In: (Wu & Kumar, 2009)

(Zhong & Ghosh, 2005) ⇒ Shi Zhong, and Joydeep Ghosh. (2005). “Generative Model-based Document Clustering: a comparative study.” In: Journal of Knowledge and Information Systems, 8(3). doi:10.1007/s10115-004-0194-1
- QUOTE: We shall follow the definition of normalized mutual information (NMI) using geometrical mean, [math]\displaystyle{ NMI = ... }[/math], as given in (Strehl and Ghosh, 2002b).
(Banerjee et al., 2005) ⇒ Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, and Joydeep Ghosh. (2005). “Clustering with Bregman Divergences.” In: Journal Machine Learning Research, 6.

(Banerjee et al., 2004) ⇒ Arindam Banerjee, S. Merugu, Inderjit S. Dhillon, and Joydeep Ghosh. (2004). “Clustering with Bregman divergences.” In: Proceedings of the 2004 SIAM International Conference on Data Mining (SDM 2004).

(Banerjee et al., 2003) ⇒ Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh, and Suvrit Sra. (2003). “Generative model-based clustering of directional data.” In: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, doi:10.1145/956750.956757