Hey Noel, ROC curves help you to assess models for a binary target (sensitivity and 1-specificity connect the dots of true positives and false negatives). Clustering is unsupervised learning, which means you don't need a target. This is why you don't see ROC curves if you don't have a target that can be assessed in terms of sensitivity and 1-specificity. I hope it helps, M
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