Normalisation/Scaling
Normalisation and scaling are the process of scaling your data to some predetermined range. It is often between 0 and 1, but can be according to a model. Normalisation and scaling are often used when comparing different types of data in routines such as cluster analysis.
Options
- Interval - This simply stretches the data values between 0 and 1.
- Mean - This sets the mean of the dataset to 0, and the standard deviation of the dataset to +/- 1
- Median - This sets the median of the dataset to 0, and the median absolute deviation of the dataset to +/- 1
- 8-bit histogram equalisation - this seeks to distribute the data equally across 255 values.