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    • Improving hyperplane based density clustering solutions with applications in image processing 

      Kenyon, Jacob Bradley (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : Minimum Density Hyperplane (MDH) clustering is a recently proposed method that seeks the location of an optimal low-density separator by directly minimising the integral of the empirical density function ...

    • Projected naive bayes 

      Melonas, Michail C. (Stellenbosch : Stellenbosch University, 2020-03)
      ENGLISH SUMMARY : Naïve Bayes is a well-known statistical model that is recognised by the Institute of Electrical and Electronics Engineers (IEEE) as being among the top ten data mining algorithms. It performs classification ...