How should we place the clusters in a K-means clustering implementation?

@adityashrm21 wrote:

Hello,

After deciding the number of clusters we want, how should we place the clusters so that the algorithm converges closest to the global optimum solution?
Should we just randomly initialize the clusters or should we make sure that the clusters are equally distant from each other? What is a good way?

Thanks!

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