Frobenius normalization

This function computes the Frobenius normalization of a matrix.

Usage

frobNorm(X)

Arguments

X

Numeric matrix of any size. It may be a kernel matrix.

Value

Frobenius-normalized X (class: "matrix").

Examples

dat <- matrix(rnorm(50),ncol=5,nrow=10)
frobNorm(dat)
#>              [,1]         [,2]         [,3]          [,4]        [,5]
#>  [1,]  0.11892976 -0.008520174 -0.098282752  0.1007399113 -0.20001807
#>  [2,]  0.13688317 -0.132506371 -0.077280624  0.1054156208 -0.04516212
#>  [3,] -0.01659924  0.048166729  0.048095133  0.0578036534  0.14074868
#>  [4,] -0.15148728  0.183873699  0.229015004  0.2274625902 -0.16162599
#>  [5,] -0.07425595 -0.052516169 -0.034224265 -0.0502262305 -0.07041598
#>  [6,] -0.20260249  0.066069061  0.168215516 -0.0372132970  0.17772857
#>  [7,] -0.13616897 -0.048950972 -0.009683369 -0.0529908004  0.23797888
#>  [8,]  0.12336331 -0.004303914 -0.329716377  0.0455160338  0.34631126
#>  [9,] -0.29458685  0.055430079  0.039444221  0.0001882036 -0.19742173
#> [10,]  0.03046178  0.235652184 -0.114427709  0.0288640286 -0.06793834