Compute Pairwise Distances Between Two Data sets
This function computes and returns the distance matrix computed by using the specified distance measure to compute the pairwise distances between the rows of two data matrices.
dist2(x, y, method = "euclidean", p=2)
x |
A data matrix. |
y |
A vector or second data matrix. |
method |
the distance measure to be used. This must be one of
|
p |
The power of the Minkowski distance. |
This is a two-data-set equivalent of the standard function
dist. It returns a matrix of all pairwise
distances between rows in x and y. The current
implementation is efficient only if y has not too many
rows (the code is vectorized in x but not in y).
The definition of Canberra distance was wrong for negative data prior to version 1.3-5.
Friedrich Leisch
x <- matrix(rnorm(20), ncol=4)
rownames(x) = paste("X", 1:nrow(x), sep=".")
y <- matrix(rnorm(12), ncol=4)
rownames(y) = paste("Y", 1:nrow(y), sep=".")
dist2(x, y)
dist2(x, y, "man")
data(milk)
dist2(milk[1:5,], milk[4:6,])Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.