A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
17/09/2013
17/09/2013
2012
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| Resumo |
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 Research Foundation of the State of Sao Paulo, Brazil (FAPESP) Brazilian National Council for Scientific and Technological Development (CNPq) Natural Sciences and Engineering Research Council of Canada (NSERC) |
| Identificador |
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, LOS ALAMITOS, v. 9, n. 6, pp. 1850-1852, NOV-DEC, 2012 1545-5963 http://www.producao.usp.br/handle/BDPI/33414 10.1109/TCBB.2012.115 |
| Idioma(s) |
eng |
| Publicador |
IEEE COMPUTER SOC LOS ALAMITOS |
| Relação |
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS |
| Direitos |
restrictedAccess Copyright IEEE COMPUTER SOC |
| Palavras-Chave | #DATA MINING #CLUSTERING #BIOINFORMATICS DATABASES #AUTO-HDS #BIOCHEMICAL RESEARCH METHODS #COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS #MATHEMATICS, INTERDISCIPLINARY APPLICATIONS #STATISTICS & PROBABILITY |
| Tipo |
article original article publishedVersion |
