E.P.: A spectroscopy of texts for effective clustering

E.P.: A spectroscopy of texts for effective clustering (2004)

by Wenyuan Li , Wee-keong Ng , Kok-leong Ong , Ee-peng Lim

Venue:	In: Proc. 8th PKDD
Citations:	2 - 1 self

11964	Maximum likelihood from incomplete data via the EM algorithm,” - Dempster, Laird, et al. - 1977
501	Estimating the number of clusters in a data set via the gap statistic - Tibshirani, Walther, et al.
205	Impact of similarity measures on Web-page clustering, - Strehl, Ghosh, et al. - 2000
101	P: Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms - Salvador, Chan
94	Finding the number of clusters in a data set: An information theoretic approach - Sugar, James - 2003
31	CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data, - Yang, Guan, et al. - 2002
1	C.: Determining the number of clusters in a mixture by iterative model space refinement with application to free-swimming fish detection - Evans, Alder, et al. - 2003