Compute Distances Between Vectors on a GPU

This function computes the distance between each vector of the 'points' argument using the metric specified by 'method'.

Usage

gpuDist(points, method = "euclidean", p = 2.0,
    precision = getOption("gputools.precision", "single"))

Arguments

points

a matrix of floating point numbers in which each row is a vector in $R^n$ space where $n$ is ncol(points).

method

a string representing the name of the metric to use to calculate the distance between the vectors of 'points'. Currently supported values are: "binary", "canberra", "euclidean", "manhattan", "maximum", and "minkowski".

p

a floating point parameter for the Minkowski metric.

precision

"single" or "double": the floating point precision the GPU computes in. Single precision is the default, set with options(gputools.precision = "double"); it runs many times faster on most consumer GPUs. Results are returned as doubles either way.

Value

a class of type "dist" containing floating point numbers representing the distances between vectors from the 'points' argument.

See also

dist

Examples

if (FALSE) { # gpuAvailable()
numVectors <- 5
dimension <- 10
Vectors <- matrix(runif(numVectors*dimension), numVectors, dimension)
gpuDist(Vectors, "euclidean")
gpuDist(Vectors, "maximum")
gpuDist(Vectors, "manhattan")
gpuDist(Vectors, "minkowski", 4)
}