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Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
Multidimensional scaling visualizes dissimilarities among objects and reduces data dimensionality. While many methods address symmetric proximity data, asymmetric and especially three-way proximity data (capturing relationships across multiple occasions) remain underexplored. The h-plot enables the
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