Volume 49, Number 4, October-December 2015
|Page(s)||735 - 751|
|Published online||08 May 2015|
The use of the hyperbolic smoothing clustering algorithm in taxonomy of macroalgae
1 State University Piauí –
2 Federal University of Piauí – UFPI, Brazil
3 Federal University of Rio de Janeiro – UFRJ, Brazil
Accepted: 5 January 2015
This work proposes a new methodological approach for grouping data in taxonomy. Macroalgae of the genus Caulerpa were selected as a study model on basis of their remarkable morphological plasticity, and of the difficulty in identifying those algae using the traditional systematical methods. The results obtained from the application of the hyperbolic smoothing algorithm demonstrate the feasibility of its use in biological taxonomy. The new methodology herein proposed may be used isolatedly or in association with other methodologies already proven, not only in phycology, but also in other areas of biology.
Mathematics Subject Classification: 92-XX / 92B10
Key words: Hyperbolic smoothing / biological taxonomy / macroalgae
© EDP Sciences, ROADEF, SMAI 2015
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