Browsing Research Output by Subject "Clustering"

Now showing items 1-4 of 4

    • Cloud-based business intelligence for a cellular IoT network 

      Holm, Johann Erich Wolfgang; Moolman, Leon William; Van der Merwe, Gabriel Petrus Rossouw (IEEE, 2019)
      This paper presents a cloud-based business intelligence (BI) implementation for a cellular Internet of Things (IoT) network. A Design Science Research (DSR) paradigm, combined with elaborated Action Design Research (eADR) ...

    • Exploring neural network training dynamics through binary node activations 

      Haasbroek, Daniël G.; Davel, Marelie H. (Southern African Conference for Artificial Intelligence Research, 2020)
      Each node in a neural network is trained to activate for a specific region in the input domain. Any training samples that fall within this domain are therefore implicitly clustered together. Recent work has highlighted ...

    • A motivation-based typology of triathletes 

      Kruger, Martinette; Myburgh, Esmarie; Saayman, Melville (SA Association for Movement & Leisure Science, 2014)
      Ironman South Africa is the only Ironman on the African continent which takes place every April in Nelson Mandela Bay (Eastern Cape Province), with nearly 2 000 athletes participating. The purpose of this research was to ...

    • A semi-supervised segmentation algorithm as applied to k-means using information value 

      Breed, D.G.; Verster, T.; Terblanche, S.E. (ORSSA, 2017)
      Segmentation (or partitioning) of data for the purpose of enhancing predictive modelling is a well-established practice in the banking industry. Unsupervised and supervised approaches are the two main streams of segmentation ...