nearest_cluster {lowmemtkmeans}

Allocates each rw (observation) in data to the nearest cluster centre.

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

nearest_cluster(data, centres)

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

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)