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A pre-averaged pseudo nearest neighbor classifier [PDF]
PeerJ Computer ScienceThe k-nearest neighbor algorithm is a powerful classification method. However, its classification performance will be affected in small-size samples with existing outliers.
Dapeng Li
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Random k conditional nearest neighbor for high-dimensional data [PDF]
PeerJ Computer ScienceThe k nearest neighbor (kNN) approach is a simple and effective algorithm for classification and a number of variants have been proposed based on the kNN algorithm. One of the limitations of kNN is that the method may be less effective when data contains
Jiaxuan Lu, Hyukjun Gweon
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Approximate Nearest Neighbor Search Based on Neighbor Graphs with Parameter Adaptation [PDF]
Jisuanji gongcheng, 2022 Approximate Nearest Neighbor Search(ANNS) algorithms based on neighbor graphs typically organize vectors in a database into a neighbor graph structure and obtain the Approximate Nearest Neighbor(ANN) of the query vector by leveraging user-specified ...
GAN Hongnan, ZHANG Kai
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A multi-voter multi-commission nearest neighbor classifier
Journal of King Saud University: Computer and Information Sciences, 2022 Many improved versions of k-nearest neighbor (KNN) have been proposed by minimizing total distances of multi k nearest neighbors (multi-voter) in each class instead of the majority voting, such as a local mean-based pseudo nearest neighbor (LMPNN) that ...
Suyanto Suyanto +3 more
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Quality-related fault diagnosis based on -nearest neighbor rule for non-linear industrial processes
International Journal of Distributed Sensor Networks, 2021 The fault diagnosis approaches based on k -nearest neighbor rule have been widely researched for industrial processes and achieve excellent performance. However, for quality-related fault diagnosis, the approaches using k -nearest neighbor rule have been
Zelin Ren +2 more
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Non-zero probability of nearest neighbor searching [PDF]
Journal of Artificial Intelligence and Data Mining, 2017 Nearest Neighbor (NN) searching is a challenging problem in data management and has been widely studied in data mining, pattern recognition and computational geometry.
A. Mesrikhani, M. Davoodi
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Mixture of the nearest- and next-nearest-neighbor d + id-wave pairings on the honeycomb lattice
New Journal of Physics, 2022 Symmetry of superconducting pairing is one of the cardinal issues in superconductivity. In general, the nearest-neighbor and next-nearest-neighbor pairings cannot spontaneously mix with each other constrained by the distinct symmetry classification, for ...
Xian-Dong Li +5 more
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Nearest neighbor estimates of Kaniadakis entropy
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022 The aim of this paper is to develop new nonparametric estimators of entropy based on the kth nearest neighbor distances that are considered between n sample points, k ≤ (n − 1) being a positive integer, fixed.
Dănilă-Cernat Ioana
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Approximation result toward nearest neighbor heuristic [PDF]
Yugoslav Journal of Operations Research, 2002 In this paper, we revisit the famous heuristic called nearest neighbor (N N) for the traveling salesman problem under maximization and minimization goal.
Monnot Jér"me
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Energy parameters and novel algorithms for an extended nearest neighbor energy model of RNA. [PDF]
PLoS ONE, 2014 We describe the first algorithm and software, RNAenn, to compute the partition function and minimum free energy secondary structure for RNA with respect to an extended nearest neighbor energy model.
Ivan Dotu, Vinodh Mechery, Peter Clote
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