Normalize a matrix to the range \([0,1]\)

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

# install.packages("remotes")
# remotes::install_github("ksatohds/nmfkc")
# Example.
x <- nmfkc.normalize(iris[,-5])
apply(x,2,range)
#>      Sepal.Length Sepal.Width Petal.Length Petal.Width
#> [1,]            0           0            0           0
#> [2,]            1           1            1           1