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Glite Dictionary
unnormalized

unnormalized

7.9
Not adjusted to the same scale as other values
  • adjective
  • /ʌnˈnɔrməˌlaɪzd/
  • Specialized
translation icon : no normalizado
  • In some mathematical models, the values are often presented in an unnormalized form to simplify calculations.

Examples

  • This main effect was not significant in the initial analysis of the unnormalized RT data.

    Academic text (1997)

  • Zero, infinity, NANs, and unnormalized and denormalized numbers cannot use the data bypasses.

    Academic text (1994)

  • You might actually use it in an unnormalized fashion.

  • You do IG of A, it'll give you the eigenvalues of matrix A and it'll give them back to you unnormalized and unordered.

  • The data set contains unnormalized scores, which require adjustment for proper analysis.

  • To compare the results more effectively, we need to convert the unnormalized figures into a standardized scale.

Synonyms

uncalibrated
vsunnormalized
  • Specialized
1 6.6

Not adjusted to give correct measurements so results may be wrong

means not scaled to a standard value rather than just instrument tuning
unstandardized
vsunnormalized
  • Specialized
6.8

Expressed in original units rather than a common scale

is about not being adjusted to standard values across math and computing
nonstandardized
vsunnormalized
  • Specialized
8.1

Values shown in their original measurement units and not changed to a common scale

is similar but also applies beyond measurements to computing and statistics
unscaled
vsunnormalized
6.0

Not measured, changed, or covered with scales, for example raw data and fish

focuses on missing scale adjustment rather than instrument accuracy

How Normalized

standardized
  • US
4.0
unnormalized
  • Specialized
7.9
raw
353 1.0

Surface Forms

unnormalized positive

Morphology

unnormalized = normalized (transparent) = un + normal + ize + ed

Formed by adding the negating prefix 'un-' to 'normalized'; the derivation follows regular, productive morphology.

Etymology

Unnormalized is built from the prefix un- meaning 'not' and normal meaning 'standard' or 'usual'. So an unnormalized number or set of data is simply 'not made normal' — it has not been adjusted or scaled to the same standard, which is why you often change it before you compare or use it.