I have a sample of data I'd like to create a model from, which would create N clusters. After the fitting to clusters, I'd like to test various samples against the existing clusters, seeing if the samples fit any of the clusters, and if not see it as an "anomaly". I started working on it using DBScan (scikit), my data splits into 3 clusters but I can't find any function/method to test the specific sample against current results, without "refitting". Is there any other model that would fit my needs? or am I missing something when using DBScan?

Thanks in advance


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