R/L2_Distance.R
L2_distance.Rd
Quickly calculates and returns the Euclidean distances between m vectors in one set and n vectors in another. Each set of vectors is given as the columns of a matrix.
L2_distance(a, b, df = 0)
a | A d by m numeric matrix giving the first set of m vectors of dimension d
as the columns of |
---|---|
b | A d by n numeric matrix giving the second set of n vectors of dimension d
as the columns of |
df | Indicator whether to force the diagonals of the returned matrix to
be zero ( |
An m by n matrix containing the Euclidean distances between the column
vectors of the matrix a
and the column vectors of the matrix b
.
This fully vectorized (VERY FAST!) function computes the Euclidean distance between two vectors by:
||A-B|| = sqrt ( ||A||^2 + ||B||^2 - 2*A.B )
Originally written as L2_distance.m for Matlab by Roland Bunschoten of the University of Amsterdam, Netherlands.
Roland Bunschoten (original), Adrian Waddell, Wayne Oldford
A <- matrix(rnorm(400), nrow = 10) B <- matrix(rnorm(800), nrow = 10) L2_distance(A[,1, drop = FALSE], B[,1, drop = FALSE])#> [,1] #> [1,] 6.139374d_AB <- L2_distance(A,B) d_BB <- L2_distance(B,B, df = 1) # force diagonal to be zero