nearest_cluster: Allocates each rw (observation) in data to the nearest...

Description Usage Arguments Value Examples

View source: R/RcppExports.R

Description

For each observation the euclidean distance to each of the cluster centres is calculated and cluster with the smallest distance is return for that observation.

Usage

1

Arguments

data

a matrix (n x m) to be clustered

centres

matrix of cluster means (k x m), wher k is the number of clusters.

Value

vector of cluster allocations, n values ranging from 1 to k.

Examples

1
2
3
iris_mat <- as.matrix(iris[,1:4])
centres<- tkmeans(iris_mat, 3 , 0.2, c(1,1,1,1), 1, 10, 0.001)
nearest_cluster(iris_mat, centres)

andrewthomasjones/lowmemtkmeans documentation built on Nov. 8, 2017, 3:11 a.m.