getneighborhood_fast: getneighborhood_fast

In SC.MEB: Spatial Clustering with Hidden Markov Random Field using Empirical Bayes

Description

an efficient function to find the neighborhood based on the matrix of position and a pre-defined cutoff

Usage

getneighborhood_fast(x, cutoff)

Arguments

x	is a n-by-2 matrix of position.
cutoff	is a threashold of Euclidean distance to decide whether a spot is an neighborhood of another spot. For example, if the Euclidean distance between spot A and B is less than cutoff, then A is taken as the neighbourhood of B.

Value

A sparse matrix containing the neighbourhood

Examples

pos = cbind(rep(1:5, each=5), rep(1:5, 5))
Adj = getneighborhood_fast(pos, 2)

SC.MEB documentation built on Oct. 8, 2021, 9:08 a.m.