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My name is Alex. I belong to canada.
What's happening out there? Please don't make any noice.
Thanks for being there my friend. I dont care anymore.
A Gaussian Mixture Model represents a composite distribution whereby points are drawn from one of k Gaussian sub-distributions, each with its own probability. The spark.mllib implementation uses the expectation-maximization algorithm to induce the maximum-likelihood model given a set of samples. The implementation has the following parameters:
The following examples can be tested in the PySpark shell.