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I'm not sure to understand your question.

You cannot set initial centers in k-means. But you can set initial labels. It means that if you know intial labels then you know initial centers. You can do like this :

1. set initial center
2. compute distance between centers and data. Set data label equal to nearest center
3. call kmean with falg KMEANS_USE_INITIAL_LABELS

I'm not sure to understand your question.

You cannot set initial centers in k-means. But you can set initial labels. It means that if you know intial labels then you know initial centers. You can do like this :

1. set initial center
2. compute distance between centers and data. Set data label equal to nearest center
3. call kmean with falg KMEANS_USE_INITIAL_LABELS

label.rowRange(k*sampleCount/clusterCount, k == clusterCount - 1 ? sampleCount :(k+1)*sampleCount/clusterCount) =k;