I'm trying to apply k-means$\|$ clustering in PySpark.
According to this paper, there is an oversampling factor, $l$, that would affect the model's cost.
I couldn't find any parameter regarding oversampling factor in PySpark's k-means function. There is a parameter called
initializationSteps but there is no proper definition for that.
Is there a way I could use oversampling factor in k-means function?