normaalointi
Normaalointi, or normalization, is a process used across disciplines to adjust data to a common scale or structure. Its goal is to reduce biases caused by differing ranges or formats, enabling fair comparisons, improved numerical stability, and more effective computation.
In statistics and data processing, normalization typically refers to rescaling numeric features. Common methods include min–max
In machine learning practice, the choice of normalization method depends on the algorithm and data. Some models
In database design, normalisointi (database normalization) is a separate concept focused on structuring tables to reduce
Normalization also appears in signal processing, where amplitudes are scaled to a standard level to avoid clipping