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An F-Measure for Evaluation of Unsupervised Clustering with Non-Determined Number of Clusters
| Title | An F-Measure for Evaluation of Unsupervised Clustering with Non-Determined Number of Clusters |
| Publication Type | Unpublished |
| Year of Publication | 2008 |
| Authors | Marxer, R. , & Purwins H. |
| Abstract | In unsupervised learning, such as clustering, the problem occurs how to evaluate the results. In particular, neither the number of clusters nor the mapping between eventually known reference classes, e.g. generated from annotations, and the clusters are known. In this report, a method is suggested that adapts the F-measure for supervised classification to the unsupervised case. |
| preprint/postprint document | http://mtg.upf.edu/files/publications/unsuperf.pdf |
