Results 41 to 50 of about 114,723 (161)
Journal of Information Systems Engineering and Business Intelligence, 2015 Abstrak— Pemerataan pendidikan di Indonesia telah menjadi perhatian pemerintah sejak lama. Namun hingga saat ini, pendidikan di Indonesia masih belum merata.
Budi Dwi Satoto +2 more
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Properties of Energy-Like Statistics Under Squared Euclidean Distance and Exponential Gamma Distributions [PDF]
BIO Web of ConferencesThis study investigates distance-based statistical parameters and squared Euclidean distance for samples from exponential and gamma distributions. Statistical tests can be used as two-sample tests to determine the homogeneity between the distributions of
Jebur Ali Ahmed +4 more
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An Efficient Euclidean Distance Transform [PDF]
, 2004 Within image analysis the distance transform has many applications. The distance transform measures the distance of each object point from the nearest boundary. For ease of computation, a commonly used approximate algorithm is the chamfer distance transform.
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PERBANDINGAN EUCLIDEAN DISTANCE DENGAN CANBERRA DISTANCE PADA FACE RECOGNITION
Techno.Com, 2014 Perkembangan ilmu pada dunia komputer sangatlah pesat. Salah satu yang menandai hal ini adalah ilmu komputer telah merambah pada dunia biometrik. Arti biometrik sendiri adalah karakter-karakter manusia yang dapat digunakan untuk membedakan antara orang ...
Sendhy Rachmat Wurdianarto +2 more
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An experimental study on combining Euclidean distances [PDF]
2010 2nd International Workshop on Cognitive Information Processing, 2010 Combining different distance matrices or dissimilarity representations can often increase the performance of individual ones. In this work, we experimentally study on the performance of combining Euclidean distances and its relationship with the non-Euclideaness produced from combining Euclidean distances.
Lee W.-J., Duin R.P.W., Ibba A., Loog M.
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Generating triangulated macromolecular surfaces by Euclidean Distance Transform.
PLoS ONE, 2009 Macromolecular surfaces are fundamental representations of their three-dimensional geometric shape. Accurate calculation of protein surfaces is of critical importance in the protein structural and functional studies including ligand-protein docking and ...
Dong Xu, Yang Zhang
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IEEE Access, 2020 In Wi-Fi fingerprint positioning, what we should most care about is the distance relationship between the user and the reference points (RP). However, most of the existing weighted k-nearest neighbor (WKNN) algorithms use the Euclidean distance of ...
Boyuan Wang +6 more
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Hierarchical clustering algorithm-dendogram using Euclidean and Manhattan distance
TeknikaThis paper presents the outcomes of a research experiment on the drying process of seaweed. There are numerous approaches to clustering data, such as partitioning and the Hierarchical Clustering Algorithm (HCA).
Mukhtar Mukhtar +10 more
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Speckle Suppression by Weighted Euclidean Distance Anisotropic Diffusion
Remote Sensing, 2018 To better reduce image speckle noise while also maintaining edge information in synthetic aperture radar (SAR) images, we propose a novel anisotropic diffusion algorithm using weighted Euclidean distance (WEDAD).
Fengcheng Guo +5 more
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Unit Distances and Diameters in Euclidean Spaces [PDF]
Discrete & Computational Geometry, 2008 We show that the maximum number of unit distances or of diameters in a set of n points in d-dimensional Euclidean space is attained only by specific types of Lenz constructions, for all d >= 4 and n sufficiently large, depending on d. As a corollary we determine the exact maximum number of unit distances for all even d >= 6, and the exact maximum
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