Title :
A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data
Author :
Campello, Ricardo J. G. B. ; Moulavi, D. ; Sander, Joerg
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
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 userdefined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity.
Keywords :
bioinformatics; computational complexity; data mining; data visualisation; pattern clustering; AUTO-HDS framework; biological data clustering; biological data visualization; computational complexity; Bioinformatics; Clustering algorithms; Complexity theory; Data mining; Data visualization; AUTO-HDS; Data mining; bioinformatics databases; clustering; Algorithms; Cluster Analysis; Computational Biology; Data Mining; Databases, Factual; Software;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2012.115
