Hi
I am using the DPGMM for clustering short sequences of integers.
In my application, I need the datapoint that is in some sense closest to
the cluster mean, for each cluster.
Conforming to the interface of scikit-learn, I opted to use the
predict_proba(X), where X is the data, then selecting for each component,
the datum with highest probability.
However, it seems that predict_proba (and apparently also eval(X)) returns
the arrays of probabilities in decreasing order instead of corresponding to
the order of the components? Is this really the order of the components?
I am a little confused by this. Can someone clear this issue up?
Kasper
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