标题: | Phylogenetic tree selection by the adjusted k-means approach |
作者: | Wang, Hsiuying Hung, Shan-Lin 统计学研究所 Institute of Statistics |
关键字: | phylogenetic tree;misclassification error;k-means;adjusted k-means |
公开日期: | 2012 |
摘要: | The reconstruction of phylogenetic trees is one of the most important and interesting problems of the evolutionary study. There are many methods proposed in the literature for constructing phylogenetic trees. Each approach is based on different criteria and evolutionary models. However, the topologies of trees constructed from different methods may be quite different. The topological errors may be due to unsuitable criterions or evolutionary models. Since there are many tree construction approaches, we are interested in selecting a better tree to fit the true model. In this study, we propose an adjusted k-means approach and a misclassification error score criterion to solve the problem. The simulation study shows this method can select better trees among the potential candidates, which can provide a useful way in phylogenetic tree selection. |
URI: | http://hdl.handle.net/11536/15855 http://dx.doi.org/10.1080/02664763.2011.610442 |
ISSN: | 0266-4763 |
DOI: | 10.1080/02664763.2011.610442 |
期刊: | JOURNAL OF APPLIED STATISTICS |
Volume: | 39 |
Issue: | 3 |
起始页: | 643 |
结束页: | 655 |
显示于类别: | Articles |
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