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)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.