algorithm - R kmeans initialization -

in r programming environment, using standard implementation of kmeans algorithm (type: help(kmeans)). appears cannot initialize starting centroids. specify kmeans algorithm give me 4 clusters , pass vector coordinates of starting centroids.

1. is there implementation of kmeans allow me pass initial centroid coordinates?

yes. implementation mention allows specify starting positions. pass them in through centers parameter

> dat <- data.frame(x = rnorm(99, mean = c(-5, 0 , 5)), y = rnorm(99, mean = c(-5, 0, 5))) > plot(dat) > start <- matrix(c(-5, 0, 5, -5, 0, 5), 3, 2) > kmeans(dat, start) k-means clustering 3 clusters of sizes 33, 33, 33  cluster means:            x           y 1 -5.0222798 -5.06545689 2 -0.1297747 -0.02890204 3  4.8006581  5.00315151  clustering vector:  [1] 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 [51] 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3  within cluster sum of squares cluster: [1] 58.05137 73.81878 52.45732  (between_ss / total_ss =  94.7 %)  available components:  [1] "cluster"      "centers"      "totss"        "withinss"     "tot.withinss" "betweenss"    [7] "size"