Dissimilarity profile analysis: a case study from Italian universities


Dissimilarity profile analysis (DPA) is introduced as an explorative tool for object-oriented data analysis techniques that address the problem of latent dimension extraction by using proximity measures. Potentialities of DPA are shown within a case study from Italian universities, where undergraduate courses are examined with respect to students’ enrolment, career, and degree attainment.

DOI Code: 10.1285/i20705948v5n3p438

Keywords: dimensionality reduction, SMACOF multidimensional scaling


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