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A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data
Ricardo J G B Campello1, Davoud Moulavi, Jörg Sander
1Department of Computing Science, University of Alberta, Edmonton, AB, Canada. rcampell@ualberta.ca
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|December 11, 2012
Abstract:
In [1], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to complement that framework by showing that it is possible to get rid of a user-defined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity.

