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,]  0.12611366 -0.03994392 -0.02210942 -0.10088968  0.071159506
#>  [2,] -0.14482014  0.12791232 -0.07526930  0.23057498  0.098108033
#>  [3,] -0.06309414  0.20133734  0.16767561  0.12224976  0.065719541
#>  [4,]  0.15924838  0.05226260  0.21806804 -0.10664348  0.097365531
#>  [5,]  0.21323387  0.09708964 -0.02347251 -0.20713282 -0.146248072
#>  [6,]  0.31030186 -0.05161343 -0.41167697 -0.00833653  0.044986124
#>  [7,] -0.17689385 -0.14395779  0.05518103 -0.12474565  0.072390698
#>  [8,] -0.06087412  0.08719018 -0.08422075  0.19868670  0.065210237
#>  [9,] -0.19504383  0.08273200  0.08169751 -0.16691854 -0.145442971
#> [10,]  0.18140479  0.03253448  0.07191459 -0.06780522  0.004377078