Bandelt H J, Dress A W
Mathematisches Seminar, Universität Hamburg, Federal Republic of Germany.
Mol Phylogenet Evol. 1992 Sep;1(3):242-52. doi: 10.1016/1055-7903(92)90021-8.
In order to analyze the structure inherent to a matrix of dissimilarities (such as evolutionary distances) we propose to use a new technique called split decomposition. This method accurately dissects the given dissimilarity measure as a sum of elementary "split" metrics plus a (small) residue. The split summands identify related groups which are susceptible to further interpretation when casted against the available biological information. Reanalysis of previously published ribosomal RNA data sets using split decomposition illustrate the potential of this approach.
为了分析不相似矩阵（如进化距离）所固有的结构，我们建议使用一种名为分裂分解的新技术。该方法能准确地将给定的不相似性度量分解为基本“分裂”度量的总和加上一个（小的）残差。当根据可用的生物学信息进行分析时，分裂求和项可识别出易于进一步解释的相关组。使用分裂分解对先前发表的核糖体RNA数据集进行重新分析，说明了这种方法的潜力。
