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- W4200203270 abstract "Motivated by the network coverage of the transmitter, this research proposes a novel coverage-based method to improve the Nearest Centroid’s class prediction by replacing the centroid with radius coverage as the reference in measuring distance. This novel approach, called Nearest Coverage, was tested using a breast cancer dataset to demonstrate its efficacy. The results indicate that this new classifier approach is promising more accuracy than the Nearest Centroid using appropriate coverage configurations. This method has the advantage of being straightforward and applicable to a wide variety of classification problems." @default.
- W4200203270 created "2021-12-31" @default.
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- W4200203270 date "2021-09-14" @default.
- W4200203270 modified "2023-10-14" @default.
- W4200203270 title "Enhancing Nearest Centroid with Coverage Principle for Classification Problem" @default.
- W4200203270 doi "https://doi.org/10.1109/ic2ie53219.2021.9649329" @default.
- W4200203270 hasPublicationYear "2021" @default.
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