Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1051/ro/2015002 | RAIRO-OPERATIONS RESEARCH |
Keywords | Field | DocType |
Hyperbolic smoothing,biological taxonomy,macroalgae | Mathematical optimization,Combinatorics,Phycology,Biological taxonomy,Taxonomy (biology),Smoothing,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
49 | 4 | 0399-0559 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Gardênia Sousa Batista | 1 | 0 | 0.34 |
| Francisca Lúcia de Lima | 2 | 0 | 0.34 |
| Andre Santana | 3 | 19 | 5.58 |
| Adilson Xavier | 4 | 45 | 6.28 |