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by overfeed 315 days ago
> How can you get overlapping clusters if the two sets of labelled examples are disjoint?

What's disjoint are the training labels and the classifier's output - not the values in high-dimension space. For classification tasks, there can be neighboring items in the same cluster but separated by the hyperplane - and therefore placed in different classes despite the proximity.