nmfkc.normalize: Normalize a matrix to the range [0,1]
In nmfkc: Non-Negative Matrix Factorization with Kernel Covariates
nmfkc.normalize R Documentation
Normalize a matrix to the range [0,1]
Description
nmfkc.normalize rescales the values of a matrix to lie between 0 and 1
using the column-wise minimum and maximum values of a reference matrix.
Usage
nmfkc.normalize(x, ref = x)
Arguments
x
A numeric matrix (or vector) to be normalized.
ref
A reference matrix from which the column-wise minima and maxima are taken.
Default is x.
Value
A matrix of the same dimensions as x, with each column rescaled to the [0,1] range.
See Also
nmfkc.denormalize
Examples
# Example.
x <- nmfkc.normalize(iris[,-5])
apply(x,2,range)
nmfkc documentation built on July 14, 2026, 1:07 a.m.
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| nmfkc.normalize | R Documentation |
Normalize a matrix to the range [0,1]
Description
nmfkc.normalize rescales the values of a matrix to lie between 0 and 1
using the column-wise minimum and maximum values of a reference matrix.
Usage
nmfkc.normalize(x, ref = x)
Arguments
x |
A numeric matrix (or vector) to be normalized. |
ref |
A reference matrix from which the column-wise minima and maxima are taken.
Default is |
Value
A matrix of the same dimensions as x, with each column rescaled to the [0,1] range.
See Also
nmfkc.denormalize
Examples
# Example.
x <- nmfkc.normalize(iris[,-5])
apply(x,2,range)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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