https://doi.org/10.1351/goldbook.10064
Scaling in which the scaling matrix is the standard deviation of each variable across the objects. \[a_{i,j}^{*} = \frac{a_{i,j}}{s_{j}}\]
Notes:
- A variable occupies a column of the data matrix.
- Variance scaling equalizes the importance of each variable in multivariate data.
- When used with mean centering variance scaling is known as autoscaling.