运用平行图、主成分分析和非参数散点图矩阵等方法，研究多变量工业流程在时域内的变化规律。
Using a Parallel plot, PCA and Nonparametric Scatterplot Matrix to Study the Evolution in Time of a Multivariate Industrial Process.
当基因频率矩阵中存在稀有基因时，其对应分析的散点图则呈现明显的“蹄型效应”。
When some alleles have very low frequency in the gene frequency matrix, there would be "horse-shoe effect" in the Scallergram of correspondent analysis.
当基因频率矩阵中存在稀有基因时，其对应分析的散点图则呈现明显的“蹄型效应”。
When some alleles have very low frequency in the gene frequency matrix, there would be "horse-shoe effect" in the Scallergram of correspondent analysis.
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