Results 11 to 20 of about 84,282 (259)
Impact of temperature condition in crop disease analyzing using machine learning algorithm
Measurement: Sensors, 2022 In this study K-Nearest Neighbor (KNN) and Max Voting methods, we compare the accuracy rate and RMSE of the prediction system by using temperature data to predict crop disease.
T. Nalini, A. Rama
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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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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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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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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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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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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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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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