Results 11 to 20 of about 414,017 (186)
IMPLEMENTATION OF GAIN RATIO AND K-NEAREST NEIGHBOR FOR CLASSIFICATION OF STUDENT PERFORMANCE
Pilar Nusa Mandiri, 2020 Predicting student performance is very useful in analyzing weak students and providing support to students who face difficulties. However, the work done by educators has not been effective enough in identifying factors that affect student performance ...
Tyas Setiyorini, Rizky Tri Asmono
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Approximate $k$-Nearest Neighbor Graph on Moving Points [PDF]
Transactions on Combinatorics, 2023 In this paper, we introduce an approximation for the $k$-nearest neighbor graph ($k$-NNG) on a point set $P$ in $\mathbb{R}^d$. For any given $\varepsilon>0$, we construct a graph, that we call the \emph{approximate $k$-NNG}, where the edge with the $i ...
Zahed Rahmati
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REKOMENDASI KOMODITAS EKSPOR MENGGUNAKAN K-NEAREST NEIGHBOR
JSiI (Jurnal Sistem Informasi), 2023 Indonesia memiliki produksi komoditas yang beragam dan melimpah dengan nilai ekspor yang luar biasa, khususnya pada bidang agrikultur. Banyaknya komoditas yang tersedia, membuat para eksportir maupun calon ekportir mengalami kesulitan menentukan ...
Sony Simare-mare, Henry Pandia
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A new locally adaptive K-nearest centroid neighbor classification based on the average distance
Connection Science, 2022 The classification performance of a k-nearest neighbour (KNN) method is dependent on the choice of the k neighbours of a query. However, it is difficult to optimise the performance of KNN by choosing appropriate neighbours and an appropriate value of k ...
Benqiang Wang, Shunxiang Zhang
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Sparse Coefficient-Based ${k}$ -Nearest Neighbor Classification
IEEE Access, 2017 K-nearest neighbor rule (KNN) and sparse representation (SR) are widely used algorithms in pattern classification. In this paper, we propose two new nearest neighbor classification methods, in which the novel weighted voting methods are developed for ...
Hongxing Ma +4 more
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Ilkom Jurnal Ilmiah, 2023 Academic services are actions taken by state and private universities to provide convenience for student’s academic activities. During the current covid-19 pandemic, every university remains active in academic activities.
Andi Bode +2 more
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Jurnal Lebesgue, 2023 The purpose of this study was to predict whether mathematics students at Padang State University have the opportunity to become campus activists using the K-Nearest Neighbor Algorithm (KNN). This research will be used as a benchmark to calculate how many
Muhammad Fadhli Gusvino, Defri Ahmad
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Reverse k Nearest Neighbor Search over Trajectories [PDF]
, 2017 GPS enables mobile devices to continuously provide new opportunities to improve our daily lives. For example, the data collected in applications created by Uber or Public Transport Authorities can be used to plan transportation routes, estimate ...
Bao, Zhifeng +4 more
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Bridging frustrated-spin-chain and spin-ladder physics: quasi-one-dimensional magnetism of BiCu2PO6 [PDF]
, 2010 We derive and investigate the microscopic model of the quantum magnet BiCu2PO6 using band structure calculations, magnetic susceptibility and high-field magnetization measurements, as well as ED and DMRG techniques.
Alexander A. Tsirlin +10 more
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Two-Pass K Nearest Neighbor Search for Feature Tracking
IEEE Access, 2018 In recent years, feature tracking has become one of the most important research topics in computer vision. Many efforts have been made to design excellent feature matching methods. For large-scale structure from motion, however, existing feature tracking
Mingwei Cao +5 more
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