How can data from one article be used for cluster size selection and parameter tuning for another article if the rows of the feature matrices (n-gram frequency matrices) across articles do not correspond with each other?
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In the selection of number of clusters and in parameter tuning, how can data from one article, say Article 3, be used for cluster size selection and parameter tuning for Article 6 if the rows of the feature matrices (n-gram frequency matrices) across articles do not correspond with each other? (For example, the first row for Article 3 data corresponds to abducted while for Article 6 it is abolition. The sizes match but the actual features don't.)
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