Results 111 to 120 of about 9,019,139 (162)
Journal of Economic Surveys, Volume 40, Issue 4, Page 1763-1788, September 2026.ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly +3 more
wiley +1 more source
Veterinary and Comparative Oncology, Volume 24, Issue 3, Page 568-577, September 2026.ABSTRACT Gene expression profiling (GEP) is being used with increasing frequency to characterise canine tumours, but canine samples are often not collected in a medium to preserve RNA. Cytology samples from human tumours have been shown to provide adequate RNA for GEP using NanoString nCounter technology, suggesting a similar approach might be viable ...
McKenzie Olsen +5 more
wiley +1 more source
Komparasi Algoritma K-Means dan K-Medoids dalam Clustering Penyebaran Kasus Covid 19
, 2023 Covid 19 is a rapid spread virus that has a negative impact on the province of XYZ. With the Indonesian government policy, four zone policies such as the red, green, yellow, orange zone, which each zone has a different meaning. The algorithm used in this
Juliantho, D. A. (Dwana) +2 more
core
Agrupamiento básico k-means y k-medoids
Recurso audiovisual pertenenciente al mooc "Introducción a Machine Learning", en el que se explican los métodos más sencillos de agrupamiento en el aprendizaje no supervisado: k-means y k ...
Caicedo Dorado, Alexander
core
PENGELOMPOKAN POTENSI PARIWISATA MENGGUNAKAN ALGORITMA K-MEDOIDS CLUSTERING [PDF]
, 2019 Pariwisata merupakan salah satu sector yang meningkatkan ekonomi untuk kesejahteraan masyarakat disekitar lokasi wisata. Di Jawa Barat mendatangkan ribuan wisatawan nusantara dan mancanegara setiap tahunnya.
MHD JAMADI
core
The Journal of EngineeringFingerprint database clustering and localization using k‐medoids and k‐nearest neighbour (k‐NN) algorithms respectively typically use distance‐based fingerprint similarity metrics, with their performances dependent on the type of distance metric used ...
Abdulmalik Shehu Yaro +3 more
doaj +1 more source
Optimization of Village Grouping Using Comparison of K-Means and K-Medoids Methods
TeknikaSumenep Regency is the largest agricultural area in Madura and a major producer of food crops such as rice, corn, and vegetables. However, agricultural productivity in some areas has declined due to uneven fertilizer distribution and limited knowledge ...
Eza Rahmanita +3 more
doaj +1 more source
New Approach K-Medoids Clustering Based on Chebyshev Distance with Quantum Computing for Anemia Prediction [PDF]
Anemia is a condition where the number of red blood cells or hemoglobin levels is below normal, reducing the blood’s ability to carry oxygen, which can lead to symptoms such as fatigue, weakness, and shortness of breath.This study aims to utilize a ...
Weber, Gerhard-Wilhelm +3 more
core +1 more source
K-medoid clustering containerized allocation algorithm for cloud computing environment
Journal of Electrical Systems and Information TechnologyLoad balancing is critical for container-based cloud computing environments for several reasons. A lack of appropriate load balancing techniques could result in a decrease in performance and possible service interruptions as some nodes get overloaded ...
Amany AbdElSamea, Sherif M. Saif
doaj +1 more source
Numerical: Jurnal Matematika dan Pendidikan MatematikaStunting remains a major public health problem and poses a significant challenge to human resource development in Indonesia. Differences in stunting management performance across provinces indicate regional disparities that require systematic and data ...
Mayang Ariani Fitria Ananta +1 more
doaj +1 more source