不相关

Uncorrelated discriminant analysis is a very effective method for linear discriminant analysis and plays an important role in discriminant analysis.

不相关鉴别分析是一种非常有效并起着重要作用的线性鉴别分析方法，它能抽取出具有不相关性质的特征分量。

When the relevance between feature and class is either highly correlated or completely irrelevant, feature selection can perform best.

但是特征选取算法仅适用于解决特征与类存在较高相关性或者完全不相关的情形。

Factors such as weight, age, range and dimension of pathology, are relative to neck vocal fremitus palpation ( P < 0.05) while the pathological characteristics had no significance ( P < 0.05).

病人胖瘦、年龄、病变的大小及范围与颈部触觉语颤法相关（P<0.05），病人性别、病程、病变的性质与颈部触觉语颤法不相关（P>0.05）。