Browsing Research Output by Subject "Clustering"
Now showing items 1-4 of 4
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Cloud-based business intelligence for a cellular IoT network
(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
(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
(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
(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 ...