mlampros / ClusterR

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

Home Page:https://mlampros.github.io/ClusterR/

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What's the principle of initializers “optimal_init” and “quantile_init”?

A-Pai opened this issue · comments

commented

What's the principle of initializers “optimal_init” and “quantile_init”? Are there any reference?It is hard to understand. What is the meaning of “experimental”?
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During the implementation of the 'ClusterR' package (back in 2016) besides the existing initialization methods I also experimented with a few other methods to find out if these work similarly. This was the reason that I added 'experimental'.
You have to take a look to the Rcpp code for more information. For instance, the weblink shows the Rcpp code of the quantile_init

I'll close the issue for now. Feel free to re-open it in case that the code does not work as expected.