rflann (version 1.3)

RadiusSearch: Radius searching

Description

Radius searching

Usage

RadiusSearch(query, ref, radius, max_neighbour, build = "kdtree",
cores = 0, checks = 1)

Arguments

query

Matrix or data frame containing the set of query points where each row represents a point.

ref

Matrix or data frame containing the set of reference points where each row represents a point.

radius

Squared euclidean distance from each query point.

max_neighbour

Maximum number of points to look for within the radius of each query point.

build

String indicating the search structure to be used: "kdtree", "kmeans", "linear"

cores

Number of cpu cores to be used for searching. If 0, then the maximum allowable cores are used.

checks

Number of checks during searching. Higher value gives better search precision but takes longer. See FLANN C++ manual for more details.

Value

List containing:

Examples

## Radius searching
query <- matrix(rnorm(10), ncol = 2)
reference <- matrix(rnorm(10), ncol = 2)
RadiusSearch(query, reference, 1, 2, "kdtree", 0, 1)