We are given a huge set of points in 2D plane. We need to find, for each point the closest point within the set. For instance suppose the initial set is as follows:
Here is an example; all wrapped into a single function. You might want to split it a bit for optimization.
ClosesPair <- function(foo) {
dist <- function(i, j) {
sqrt((foo[i,1]-foo[j,1])**2 + (foo[i,2]-foo[j,2])**2)
}
foo <- as.matrix(foo)
ClosestPoint <- function(i) {
indices <- 1:nrow(foo)
indices <- indices[-i]
distances <- sapply(indices, dist, i=i, USE.NAMES=TRUE)
closest <- indices[which.min(distances)]
}
sapply(1:nrow(foo), ClosestPoint)
}
ClosesPair(foo)
# [1] 2 1 4 3 3
Of cause, it does not handle ties very well.