Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances

1 May 2013Marthinus Christoffel du PlessisMasashi Sugiyama

We consider the unsupervised learning problem of assigning labels to unlabeled data. A naive approach is to use clustering methods, but this works well only when data is properly clustered and each cluster corresponds to an underlying class... (read more)

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