Standard_Normalization: Standard Normalization

In OSNMTF: Orthogonal Sparse Non-Negative Matrix Tri-Factorization

Description

To normalize the data matrix by column

Usage

Standard_Normalization(x)

Arguments

x	The data matrix to be normalized

Value

The normalized matrix

Author(s)

Xiaoyao Yin

Examples

data1 <- matrix(0,100,100)
data2 <- matrix(0,80,100)
for (i in 1:20)
{
  data1[i,] <- rnorm(100,10,1)
}
for (i in 21:40)
{
  data1[i,] <- rnorm(100,20,1)
}
for (i in 41:60)
{
  data1[i,] <- rnorm(100,30,1)
}
for (i in 61:80)
{
  data1[i,] <- rnorm(100,40,1)
}
for (i in 81:100)
{
  data1[i,] <- rnorm(100,50,1)
}
new_data1 <- Standard_Normalization(data1)

OSNMTF documentation built on Dec. 1, 2019, 1:22 a.m.