minMaxNormalize
Scales each element to the range 0, 1 using min-max normalization.
The minimum value maps to 0 and the maximum maps to 1, with all other values linearly interpolated between them. If all values are identical (range is zero), every element maps to 0.
Example:
doubleArrayOf(1.0, 2.0, 3.0, 4.0, 5.0).minMaxNormalize()
// [0.0, 0.25, 0.5, 0.75, 1.0]Return
an array of normalized values in 0, 1.
Throws
if the array is empty.
if the array contains NaN or Infinity.
Scales each element to the range [newMin, newMax] using min-max normalization.
The minimum value maps to newMin and the maximum maps to newMax, with all other values linearly interpolated between them. If all values are identical (range is zero), every element maps to newMin.
Example:
doubleArrayOf(0.0, 5.0, 10.0).minMaxNormalize(-1.0, 1.0) // [-1.0, 0.0, 1.0]Return
Parameters
the lower bound of the target range. Must be finite.
the upper bound of the target range. Must be finite and greater than newMin.
Throws
if the array is empty.
Scales each element to the range 0, 1 using min-max normalization.
This is a convenience overload that accepts any Iterable. The collection is materialized to a DoubleArray internally.
Return
a list of normalized values in 0, 1.
See also
Throws
if the collection is empty.
if the collection contains NaN or Infinity.
Scales each element to the range [newMin, newMax] using min-max normalization.
This is a convenience overload that accepts any Iterable. The collection is materialized to a DoubleArray internally.
Return
Parameters
the lower bound of the target range. Must be finite.
the upper bound of the target range. Must be finite and greater than newMin.
See also
Throws
if the collection is empty.