find_neighbors {CytoTree} | R Documentation

## K Nearest Neighbour Search

### Description

Uses a kd-tree to find the p number of near neighbours for each point in an input/output dataset. Use the nn2 function from the RANN package, utilizes the Approximate Near Neighbor (ANN) C++ library, which can give the exact near neighbours or (as the name suggests) approximate near neighbours to within a specified error bound. For more information on the ANN library please visit http://www.cs.umd.edu/~mount/ANN/.

### Usage

    find_neighbors(data, k)

### Arguments

`data` | matrix; input data matrix
`k` | integer; number of nearest neighbours

### Value

a n-by-k matrix of neighbor indices

### Author(s)

Hao Chen <chen_hao@immunol.a-star.edu.sg>

### Examples

    iris_unique <- unique(iris) # Remove duplicates
    data <- as.matrix(iris_unique[, seq_len(4)])
    neighbors <- find_neighbors(data, k=10)

[Package CytoTree version 1.4.0 Index]