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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-539096
- DOI to cite this document:
- 10.5283/epub.53909
Abstract
When a data set is repeatedly clustered using unsupervised techniques, the resulting clusterings, even if highly similar, may list their clusters in different orders. This so-called ‘label-switching’ phenomenon obscures meaningful differences between clusterings, complicating their comparison and summary. The problem often arises in the context of population structure analysis based on multilocus ...

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