Intel® oneAPI Data Analytics Library Developer Guide and Reference
A newer version of this document is available. Customers should click here to go to the newest version.
Visible to Intel only — GUID: GUID-2C101648-09FC-4B35-A172-48486EF09C66
Visible to Intel only — GUID: GUID-2C101648-09FC-4B35-A172-48486EF09C66
Normalization
Normalization is a set of algorithms intended to transform data before feeding it to some classes of algorithms, for example, classifiers [James2013]. Normalization may improve computation accuracy and efficiency. Different rules can be used to normalize data. In oneDAL, two techniques to normalize data are implemented: z-score and min-max.