distance_functions: Euclidean and Manhattan Distance
In lcmix: Layered and chained mixture models

Description Usage Arguments Value Author(s) See Also Examples

Returns the squared Euclidean distance or the Manhattan distance between all rows in x and the vector center.

1 2	euclidean(x, center, ...) manhattan(x, center, ...)

`x`	a matrix or data frame, or a vector to be interpreted as a one-row matrix.
`center`	a vector such that `length(center) = ncol(x)`.
`...`	no effect; included for signature compatibility with `mahalanobis`.

A vector of which the ith element is the squared Euclidean distance or the Manhattan distance between x[i,] and center.

Daniel Dvorkin

mahalanobis in package stats.

set.seed(123)
x <- matrix(rnorm(12), ncol=3)
euclidean(x, rep(0,3))
# [1] 0.8026151 3.1930442 4.1403916 1.7348174
manhattan(x, rep(0,3))
# [1] 1.376616 2.390904 3.243706 1.695383