'A framework for comparing the time performance of Expectation Maximization

I have my own implementation of the Expectation Maximization (EM) algorithm based on this paper, and I would like to compare this with the performance of another implementation. For the tests, I am using k centroids with 1 Gb of txt data and I am just measuring the time it takes to compute the new centroids in 1 iteration. I tried it with an EM implementation in R, but I couldn't, since the result is plotted in a graph and gets stuck when there's a large number of txt data. I was following the examples in here.

Does anybody know of an implementation of EM that can measure its performance or know how to do it with R?

rperformancemachine-learningdata-miningexpectation-maximization


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