dist2eu: Euclidean Distance

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

Description

The distance matrix of the two group of samples

Usage

dist2eu(X,C)

Arguments

X	The first samples matrix
C	The second samples matrix

Value

The distance 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)
}
for (i in 1:20)
{
  data2[i,] <- rnorm(100,5,1)
}
for (i in 21:40)
{
  data2[i,] <- rnorm(100,10,1)
}
for (i in 41:60)
{
  data2[i,] <- rnorm(100,15,1)
}
for (i in 61:80)
{
  data2[i,] <- rnorm(100,20,1)
}
new_data1 <- Standard_Normalization(data1)
new_data2 <- Standard_Normalization(data2)
dist1 <- dist2eu(new_data1,new_data2)

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