Getting Started Guide



Normalization is a set of algorithms intended to transform data before feeding it to some classes of algorithms, e.g. neural networks and classifiers [ James2013 ]. Normalization may improve computation accuracy and efficiency. Different rules can be used to normalize data. In
Intel DAAL
, two common techniques to normalize data are implemented:
  • Z-score
  • Min-max

Product and Performance Information


Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804