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Hi, I'm a beginner in RapidMiner Studio. I'm working with clustering operators (k-means and k-medoid) and I want to know what is the diference between the Mahalanobis Distance (https://en.wikipedia.org/wiki/Mahalanobis_distance) and the option in the parameters of the operator which says "Bregman divergences" and the sub-option divergence: "Mahalanobis distance". I don't know if they are the same or not.
Hi,
Perhaps these slides might explain your question?
Cheers
Sven
Hi @agucaba123,
here is what we do:
@Override public double calculateDistance(double[] value1, double[] value2) { Matrix x = new Matrix(value1, value1.length); Matrix y = new Matrix(value2, value2.length); Matrix deltaxy = x.minus(y); // compute the mahalanobis distance return Math.sqrt(deltaxy.transpose().times(inverseCovariance).times(deltaxy).get(0, 0)); }
Does this make sense?
BR,
Martin
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