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Classification Phase—Confusion Matrix. Categorization of clustering outcomes (i.e., classifying events as single- or multiple-event jumps after they have already been detected) by considering it as a binary classification problem.
| Classification | Event in cluster | Event not in cluster |
|---|---|---|
| Single-event jump | True positive (TP) | False negative (FN) |
| Not single-event jump | False positive (FP) | True negative (TN) |
