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Hybrid k -Nearest Neighbor Classifier.
IEEE transactions on cybernetics, 2016Conventional k -nearest neighbor (KNN) classification approaches have several limitations when dealing with some problems caused by the special datasets, such as the sparse problem, the imbalance problem, and the noise problem. In this paper, we first perform a brief survey on the recent progress of the KNN classification approaches.
Zhiwen Yu 0002 +5 more
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On k-Nearest Neighbor Voronoi Diagrams in the Plane
IEEE Transactions on Computers, 1982The notion of Voronoi diagram for a set of \(N\) points in the Euclidean plane is generalized to the Voronoi diagram of order \(k\) and an iterative algorithm to construct the generalized diagram in \(O(k^2N \log N)\) time using \(O(k^2(N-k))\) space is presented.
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Robustness Certification of k-Nearest Neighbors
2023 IEEE International Conference on Data Mining (ICDM), 2023Nicolò Fassina +2 more
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A representation coefficient-based -nearest centroid neighbor classifier
Expert Systems With Applications, 2022Weihua Ou, Yongzhao Zhan, Jianping Gou
exaly
A new two-layer nearest neighbor selection method for kNN classifier
Knowledge-Based Systems, 2022Zhibin Pan
exaly