selfKNN: Self KNN

In uHMM: Construct an Unsupervised Hidden Markov Model

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)

uHMM documentation built on May 2, 2019, 9:16 a.m.