Results 11 to 20 of about 114,723 (161)
Ilkom Jurnal Ilmiah, 2020 K-Nearest Neighbor is a data mining algorithm that can be used to classify data. K-Nearest Neighbor works based on the closest distance. This research using the Euclidean and Manhattan distances to calculate the distance of Lhokseumawe-Medan bus ...
Rozzi Kesuma Dinata +2 more
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$N$ -Dimensional Approximation of Euclidean Distance [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2020 Several applications in different engineering areas require the computation of the Euclidean distance, a quite complex operation based on squaring and square root. In some applications, the Euclidean distance can be replaced by the Manhattan distance. However, the approximation error introduced by the Manhattan distance may be rather large, especially ...
Gian Carlo Cardarilli +5 more
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Euclidean Distance Matrix-Based Rapid Fault Detection and Exclusion
Navigation, 2023 Faulty signals from global navigation satellite systems (GNSSs) often lead to erroneous position estimates. A variety of fault detection and exclusion (FDE) methods have been proposed in prior research to both detect and exclude faulty measurements. This
Derek Knowles, Grace Gao
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Hardware Trojan Detection Based on Improved Euclidean Distance [PDF]
Jisuanji gongcheng, 2017 The accuracy of the hardware Trojan detection method based on the traditional Euclidean distance discrimination is too low to meet the demand.For this reason,the side-channel power consumption information is collected and analized in this paper,and an ...
WANG Jianxin,WANG Boren,QU Ming,ZHANG Lei
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Analisis Metode Euclidean Distance dalam Menentukan Koordinat Peta pada Alamat Rumah
Jurnal Teknologi dan Manajemen Informatika, 2022 A map is drawn on a flat plane and reduced or scaled. The use of scale on a map is a comparison between the image plane and the actual surface of the earth.
Abdi Pandu Kusuma, Ananda Dwi Oktavianto
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JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2020 Sign Language use to communicate to people with dissabilities. American Sign Language (ASL) one of popular sign language. Histogram of Oriented Gradient (HOG) can be use as feature extraction. Then feature stored in database.
Muhammad Ezar Al Rivan +3 more
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Uncertain group decision-making with induced aggregation operators and Euclidean distance
Technological and Economic Development of Economy, 2013 In this paper, we present the induced uncertain Euclidean ordered weighted averaging distance (IUEOWAD) operator. It is an extension of the OWA operator that uses the main characteristics of the induced OWA (IOWA), the Euclidean distance and uncertain ...
Weihua Su, Shouzhen Zeng, Xiaojia Ye
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SCENE CLASSIFICATION BASED ON THE INTRINSIC MEAN OF LIE GROUP [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Remote Sensing scene classification aims to identify semantic objects with similar characteristics from high resolution images. Even though existing methods have achieved satisfactory performance, the features used for classification modeling are still ...
C. Xu, G. Zhu, K. Yang
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Approximation of the Euclidean Distance by Chamfer Distances
Acta Cybernetica, 2012 Preprint submitted to Acta Cybernetica, 20 ...
András Hajdu +2 more
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Dissimilarity measures and hierarchical methods for the study of genetic diversity on soybean
Bioscience Journal, 2017 In analysis of the genetic diversity on soybean can be used agronomic, morphological and molecular traits, which are subjected to multivariate biometrical analysis.
Bárbara Rodrigues +7 more
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