How to give ClusteringComponents initial values?

Question

I came across a variant of k-means that adds a algorithm to select good starting values called k-means++.

kMeansInitializer[data_, k_Integer] :=
 Module[
  {startingPoint = RandomChoice[data], getDistance, getDistances, 
   nextPoint},
  getDistance[datum_, points_] := Min[Norm[datum - #]^2 & /@ points];
  getDistances[points_] := getDistance[#, points] & /@ data;
  nextPoint[points_] := RandomChoice[getDistances[points] -> data];
  NestList[nextPoint, startingPoint, k - 1]
  ]

After implementing the algorithm (a bit of a challenge for someone at my level) I now find I have no idea how to feed the values I generate to ClusteringComponents to use as initial values for use in its k-means implementation.