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Visualisation of quadratic discriminant analysis and its application in exploration of microbial interactions

机译:二次判别分析的可视化及其在微生物相互作用探索中的应用

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摘要

BackgroundWhen comparing diseased and non-diseased patients in order to discriminate between the aspects associated with the specific disease, it is often observed that the diseased patients have more variability than the non-diseased patients. In such cases Quadratic discriminant analysis is required which is based on the estimation of different covariance structures for the different groups. Having different covariance matrices means the Canonical variate transformation cannot be used to obtain a visual representation of the discrimination and group separation.
机译:背景当比较患病和未患病的患者以区分与特定疾病相关的方面时,经常观察到患病的患者比未患病的患者具有更大的变异性。在这种情况下,需要进行二次判别分析,该分析基于对不同组的不同协方差结构的估计。具有不同的协方差矩阵意味着规范的变量转换不能用于获得区分和组分离的视觉表示。

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