Munir, M and Nababan, E and Tulus, Tulus (2020) Learning Vector Quantization with Local Mean Based to Determine K Value in the K-Nearest Neighbor Method. In: Proceedings of the 1st International Conference on Management, Business, Applied Science, Engineering and Sustainability Development, ICMASES 2019, 9-10 February 2019, Malang, Indonesia.
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Abstract
classification is a process that explains and functions to distinguish data classes or concepts that aim to be able to predictions in classes of objects unknown to the label class. Many popular classification techniques, one of which is K-Nearest Neighbor (KNN). The K-NN algorithm functions to find
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:49 |
| Last Modified: | 17 Apr 2026 12:38 |
| URI: | http://eprints.eai.eu/id/eprint/26635 |
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