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 (Research - C1) |
| ISSN: | 1545-5963 |
| Keywords: | AUTO-HDS; bioinformatics databases; clustering; data mining |
| 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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