A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data

Campello, Ricardo J.G.B., Moulavi, Davoud, and Sander, Jörg (2012) A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 9 (6). pp. 1850-1852.

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View at Publisher Website: http://dx.doi.org/ 10.1109/TCBB.2012.115
 
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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.

Item ID: 47653
Item Type: Article (Refereed Research - C1)
Keywords: AUTO-HDS; bioinformatics databases; clustering; data mining
ISSN: 1545-5963
Funders: São Paulo Research Foundation (FAPESP), Brazilian National Council for Scientific and Technological Development (CNPq), Natural Sciences and Engineering Research Council of Canada (NSERC)
Date Deposited: 15 May 2017 02:26
FoR Codes: 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
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