Publication Type:

Conference Paper

Source:

BMC Bioinformatics, Biotechnology and Bioinformatics Symposium, BIOT-2011 (2011)

URL:

https://doi.org/10.1186/1471-2105-13-S13-S3

Abstract:

Numerous types of clustering like single linkage and K-means have been widely studied and applied to a variety of scientific problems. However, the existing methods are not readily applicable for the problems that demand high stringency.

Cite this Research Publication

B. - H. Kim, Dr. Bhadrachalam Chitturi, and Grishin, N. V., “Self consistency grouping: a stringent clustering algoritham”, in BMC Bioinformatics, Biotechnology and Bioinformatics Symposium, BIOT-2011, 2011.