Issue No. 06 - Nov.-Dec. (2012 vol. 9)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TCBB.2012.115
R. J. G. B. Campello , Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
D. Moulavi , Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
J. Sander , Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
In , 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 userdefined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity.
Clustering algorithms, Complexity theory, Data mining, Data visualization, Bioinformatics,AUTO-HDS, Data mining, clustering, bioinformatics databases
R. J. G. B. Campello, D. Moulavi, J. Sander, "A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. , pp. 1850-1852, Nov.-Dec. 2012, doi:10.1109/TCBB.2012.115