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cs.LG2022
Condensed Representation of Machine Learning Data
Rahman Salim Zengin, Volkan Sezer
Training of a Machine Learning model requires sufficient data. The sufficiency of the data is not always about the quantity, but about the relevancy and reduced redundancy. Data-ge…
cs.LG2021
Super-klust: Another Way of Piecewise Linear Classification
Rahman Salim Zengin, Volkan Sezer
With our previous study, the Super-k algorithm, we have introduced a novel way of piecewise-linear classification. While working on the Super-k algorithm, we have found that there…
cs.LG2020
Super-k: A Piecewise Linear Classifier Based on Voronoi Tessellations
Rahman Salim Zengin, Volkan Sezer
Voronoi tessellations are used to partition the Euclidean space into polyhedral regions, which are called Voronoi cells. Labeling the Voronoi cells with the class information, we c…