supervised clustering (unsupervised classification)

The goal of clustering is to group similar instances into the same category. In the pure unsupervised setup measuring the quality of a clustering is hard and it is often based on human judgement. We call supervised clustering (or unsupervised classification) the setup when the clusters are known at test time, so the quality can be measured by comparing the predicted clusters to real ones.

See cluster analysis on Wikipedia.

Related problems