Difference between revisions of "Normalize Command"

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(* If you are doing calculations using big or small numbers (eg using FitGrowth) then normalizing them might avoid rounding/overflow errors)
 
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{{Notes|1=
 
{{Notes|1=
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* If you are doing calculations using big or small numbers (eg using  [[FitGrowth Command|FitGrowth]]) then normalizing them might avoid rounding/overflow errors
 
*This command is not applicable to 3D points.
 
*This command is not applicable to 3D points.
 
*The operation of ''normalization'' maps a value ''x'' to the interval [0, 1] using the linear function  <math>x \mapsto \frac{x-Min[list]}{Max[list]-Min[list]}</math>.}}
 
*The operation of ''normalization'' maps a value ''x'' to the interval [0, 1] using the linear function  <math>x \mapsto \frac{x-Min[list]}{Max[list]-Min[list]}</math>.}}

Latest revision as of 12:48, 4 February 2019


Normalize( <List of Numbers> )
Returns a list containing the normalized form of the given numbers.
Example: Normalize({1, 2, 3, 4, 5}) returns {0, 0.25, 0.5, 0.75, 1}.


Normalize( <List of Points> )
Returns a list containing the normalized form of the given points.
Example: Normalize({(1,5), (2,4), (3,3), (4,2), (5,1)}) returns {(0,1), (0.25,0.75), (0.5,0.5), (0.75,0.25), (1,0)}.


Notes:
  • If you are doing calculations using big or small numbers (eg using FitGrowth) then normalizing them might avoid rounding/overflow errors
  • This command is not applicable to 3D points.
  • The operation of normalization maps a value x to the interval [0, 1] using the linear function x \mapsto \frac{x-Min[list]}{Max[list]-Min[list]}.
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