A 2-means clustering step cleans labels to enable logistic regression for positive-unlabeled classification without requiring the SCAR assumption.
In Proceedings of the 18th International Joint Conference o n Artificial Intelligence (Acapulco, Mexico) (IJCAI’03), Morgan Kaufmann Publisher s Inc., San Francisco, CA, USA, pp
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A proposal for PU classification under Non-SCAR using clustering and logistic model
A 2-means clustering step cleans labels to enable logistic regression for positive-unlabeled classification without requiring the SCAR assumption.