12 December 2016 3 4K Report

I have a Gaussian model, I would like to classify new experimental data. Does Mahalanobis distance approach is a good starting point to evaluate the probability distribution? 

Or is there any other approach would provide better results?

Expert advice is appreciated..:)

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