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cs.LG2013★ 1 cited
Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances
Marthinus Christoffel du Plessis, Masashi 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 c…
cs.LG2013
Semi-Supervised Information-Maximization Clustering
Daniele Calandriello, Gang Niu, Masashi Sugiyama
Semi-supervised clustering aims to introduce prior knowledge in the decision process of a clustering algorithm. In this paper, we propose a novel semi-supervised clustering algorit…