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The text-critical practice of grouping witnesses into families or texttypesoften faces two obstacles: Contamination in the manuscript tradition, andco-dependence in identifying characteristic readings and manuscripts. Weintroduce non-negative matrix factorization (NMF) as a simple, unsupervised,and efficient way to cluster large numbers of manuscripts and readingssimultaneously while summarizing contamination using an easy-to-interpretmixture model. We apply this method to an extensive collation of the NewTestament epistle of Jude and show that the resulting clusters correspond tohuman-identified textual families from existing research.

Biclustering Readings and Manuscripts via Non-negative Matrix Factorization, with Application to the Text of Jude