Browsing Faculty of Natural and Agricultural Sciences by Subject "Clustering"
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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 ...