Other factors, such as the training optimization algorithm and learning rate, usually have greater influence than type of normalization technique used. In most situations I prefer using constant ...

Comparison of expression data requires normalization. The optimum normalization method depends on sample type, with the most common being to normalize to reference genes. It is critical to select ...

This article explains how to programmatically normalize numeric data for use in a machine learning (ML) system such as a deep neural network classifier or clustering algorithm. Suppose you are trying ...