Lacher D A, O'Donnell E D
Department of Pathology, Medical College of Ohio, Toledo, 43699.
Ann Clin Lab Sci. 1988 Nov-Dec;18(6):455-62.
Multidimensional scaling (MDS) and principal component analysis (PCA) were applied to bacterial taxonomy. The biochemical profiles of 42 isolates consisting of four species of Enterobacteriaceae were used. Both MDS and PCA use proximity measures such as the correlation coefficient or Euclidean distance to generate a spatial configuration (map) of points in multidimensional space where distances between points reflect the similarity among isolates. Multidimensional scaling and principal component analysis were able to discriminate organisms in two dimensions. The test components of the MDS and PCA factors (derived variables composed of linear combination of biochemical tests) were different for a two-dimensional solution.
多维尺度分析（MDS）和主成分分析（PCA）被应用于细菌分类学。使用了由四种肠杆菌科细菌组成的42株分离菌的生化谱。MDS和PCA都使用诸如相关系数或欧几里得距离等接近度度量来生成多维空间中点的空间配置（图），其中点之间的距离反映了分离菌之间的相似性。多维尺度分析和主成分分析能够在二维空间中区分不同的微生物。对于二维解决方案，MDS和PCA因子的测试成分（由生化测试的线性组合组成的派生变量）是不同的。
