uHMM (version 1.0)

selfKNN: Self KNN

Description

This function performs the k-Nearest Neighbour algorithm without class estimation, but only computation of distances and neighbours.

Usage

selfKNN(train, K = 1)

Arguments

train

numeric matrix or data frame.

K

number of neighbours considered.

Value

The function returns a list with the following components:

D

matrix of squared root of the distances between observations and their nearest neighbours.

idx

Index of K nearest neighbours of each observation.

Examples

x<-matrix(runif(10),ncol=2)
plot(x,pch=c("1","2","3","4","5"))
selfKNN(x,K=4)