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

In andrewthomasjones/tkmeans: Low Memory Use Trimmed K-Means

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)

andrewthomasjones/tkmeans documentation built on May 10, 2019, 11:11 a.m.