| Title: |
CLUSTER ANALYSIS IN PUBESCENT OAK TAXA FROM SERIES LANUGINOSAE: A CASE STUDY. |
| Authors: |
ENESCU, C. M.1, ŞOFLETEA, N.1, CURTU, A. L.1 |
| Source: |
Bulletin of the Transilvania University of Brasov, Series II: Forestry, Wood Industry, Agricultural Food Engineering. 2012, Vol. 5 (54) Issue 1, p79-84. 6p. |
| Subject Terms: |
*OAK, *QUERCUS pubescens, *CLUSTER analysis (Statistics), *PLANT species, *COMPARATIVE studies, *COMPUTER software |
| Abstract: |
The main purpose of this study was to compare the different clustering techniques in order to identify the one with the best discriminating power among oak species. By using two groups of trees, one corresponding to pedunculate oak and the other one to pubescent oak, Ward's Method with Manhattan distances provided the best separation between the two oak species. By contrast, different results were obtained for the two taxa from series Lanuginosae (pubescent oak and Italian oak), due mainly to their similarities in leaf and fruit traits. In conclusion, by using a wide variety of clustering combinations within STATISTICA software, no separation between pubescent oak and Italian oak was achieved. [ABSTRACT FROM AUTHOR] |
|
Copyright of Bulletin of the Transilvania University of Brasov, Series II: Forestry, Wood Industry, Agricultural Food Engineering is the property of Transilvania University of Brasov, Faculty of Silviculture & Forest Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Academic Search Complete |
