归一化

相关资料

https://en.wikipedia.org/wiki/Normalization_(statistics)
https://en.wikipedia.org/wiki/Standard_score
https://en.wikipedia.org/wiki/Feature_scaling
https://en.wikipedia.org/wiki/Coefficient_of_variation

https://www.cnblogs.com/feiyumo/p/9866818.html
https://blog.csdn.net/binlin199012/article/details/84638649

归一化：normalization
Z分数：Z-score
特征缩放：Feature scaling
变异系数：Coefficient of variation

In statistics and applications of statistics, normalization can have a range of meanings.
In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging.
In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment.

归一化是一种简化计算的方式，即将有量纲的表达式，经过变换，化为无量纲的表达式，成为标量。

Z分数

意义：一个给定的值距离平均数多少个标准差？

特征缩放

意义：将不同特征的值量化到同一区间。

变异系数

意义：离散程度的归一化，用于比较两组数据离散程度的大小。