Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks (VANETs) [PDF]
Sensors, 2018 This paper presents a novel dissimilarity metric based on local neighboring information and a genetic programming approach for efficient data dissemination in Vehicular Ad Hoc Networks (VANETs).
Daniel Gutiérrez-Reina +3 more
doaj +3 more sources
Euclidean distance geometry and applications [PDF]
SIAM Review, 2012 Euclidean distance geometry is the study of Euclidean geometry based on the concept of distance. This is useful in several applications where the input data consists of an incomplete set of distances, and the output is a set of points in Euclidean space ...
Lavor, Carlile +3 more
core +6 more sources
An Improved WiFi Positioning Method Based on Fingerprint Clustering and Signal Weighted Euclidean Distance [PDF]
Sensors, 2019 WiFi fingerprint positioning has been widely used in the indoor positioning field. The weighed K-nearest neighbor (WKNN) algorithm is one of the most widely used deterministic algorithms.
Boyuan Wang +4 more
doaj +2 more sources
Optimizing Euclidean Distance Computation
MathematicsThis paper presents a comparative analysis of seventeen different approaches to optimizing Euclidean distance computations, which is a core mathematical operation that plays a critical role in a wide range of algorithms, particularly in machine learning ...
Rustam Mussabayev
doaj +2 more sources
Euclidean distance between two linear varieties [PDF]
Applied Mathematical Sciences, 2014 This paper addresses to the problem of finding the (minimum) Euclidean distance between two linear varieties. This problem is, usually, solved minimising a target function. We propose a novel approach: to use the Moore-Penrose generalised inverse of a matrix in order to find the Euclidean distance and, at the same time, going further by exhibiting the ...
M. A. Facas Vicente +2 more
openalex +3 more sources
Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees [PDF]
, 2014 This paper addresses the problem of ad hoc microphone array calibration where only partial information about the distances between microphones is available.
Asaei, Afsaneh +4 more
core +4 more sources
Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans). [PDF]
BMC Bioinformatics, 2022 Ultsch A, Lötsch J.
europepmc +3 more sources
Comparison analysis of Euclidean and Gower distance measures on k-medoids cluster
Jurnal Teknologi dan Sistem Komputer, 2021 K-medoids clustering uses distance measurement to find and classify data that have similarities and inequalities. The distance measurement method selection can affect the clustering performance for a dataset.
Agil Aditya +2 more
doaj +1 more source
Barekeng, 2023 An intuitionistic fuzzy set (IFS) can be helpful in decision-making as a concept to describe uncertainty. This study proposes the application of IFS in determining research topics for students of the mathematics education study program using the ...
Sutrisno Sutrisno +2 more
doaj +1 more source
Penalized Euclidean distance regression [PDF]
Stat, 2018 A method is introduced for variable selection and prediction in linear regression problems where the number of predictors can be much larger than the number of observations. The methodology involves minimizing a penalized Euclidean distance, where the penalty is the geometric mean of the ℓ1 and ℓ2 norms of regression coefficients.
Daniel Vasiliu +2 more
openaire +4 more sources