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Classifier accuracy measures in data mining

Classification accuracy as the simplest clustering quality measure was proposed by Gavrilov et al. (2000) to evaluate clustering results associated with the ground truth. Given the partition of the data set based on the ground truth P ∗ = { C 1 ∗, …. C K ∗ } and clustering results generated by clustering algorithm P = { C 1

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