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An outlier is an observation that appears to be unusual or not well described relative to a simple characterization of a dataset. A discomfiting possibility is that these data come from a different population than the one intended to be studied.

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will represent probablity of belonging to the cluster. I will have a lot of outliers, assume around 30%. I have tried Gaussian mixture model, and it works very good when I don't have outliers … . Unfortunately, this model is very sensitive to outliers. Any suggestions how to handle the outliers with Gaussian mixture model? Or should I go with completely different model? …
asked Jun 29 '17 by Luka