mNearestN function

m nearest neighbors based on a distance matrix

This function finds the m nearest neighbors, given a matrix of distances.

mNearestN(distMat, m = 5, listv = FALSE, rn = FALSE)

Arguments

• distMat: distance matrix
• m: number of nearest neighbors, default value 5
• listv: logical, default FALSE. If TRUE the list of neighbors should also be returned
• rn: logical, default FALSE. If TRUE, the spatial weights matrix will be row-normalized

Returns

• W: spatial weights matrix

• nlist: list of indexes of the m nearest neighbors

Examples

data(gN3dist, package = "SDPDmod")
fournn <- mNearestN(gN3dist, m = 4)
mat1   <- rownor(fournn)
tennn  <- mNearestN(gN3dist, 10, listv = TRUE, rn = TRUE)
mat2   <- tennn$W

Author(s)

Rozeta Simonovska