nearest_neighbors: Compute Nearest Neighbors

In rmi: Mutual Information Estimators

Description

Computes the nearest neighbor distances and indices of a sample using the infinite norm.

Usage

nearest_neighbors(data, k)

Arguments

data	Matrix of sample observations, each row is an observation.
k	Neighborhood order.

Details

Nearest neighbors are computed using the brute-force method.

Value

List of distances and indices of the k-nearest neighbors of each point in data.

Examples

X <- cbind(1:10)
nearest_neighbors(X,3)

set.seed(123)
X <- cbind(runif(100),runif(100))
plot(X,pch=20)
points(X[3,1],X[3,2],col='blue',pch=19, cex=1.5)
nn <- nearest_neighbors(X,5)
a = X[nn$nn_inds[3,-1],1]
b = X[nn$nn_inds[3,-1],2]
points(a,b,col='red',pch=19, cex=1.5)

rmi documentation built on May 2, 2019, 3:27 a.m.