Search Results - subject:"K‐means clustering"

Enduring Inequalities: Analyzing Energy Poverty Inertia Across K-Means Clusters

Budría, Santiago; Bravo Chew, Leslie - 2025

of Moments (GMM) estimation procedure with K-means cluster analysis. K-means clustering is a fundamental tool within AI …

Persistent link: https://www.econbiz.de/10015398830

Artificial Intelligence adoption in the European Union : a data-driven cluster analysis (2021-2024)

Ionașcu, Costel Marian - In: Economies : open access journal 13 (2025) 5, pp. 1-38

intelligence adoption process, its dynamics and patterns using principal component analysis and K-means clustering. The results …

Persistent link: https://www.econbiz.de/10015410213

Enduring inequalities : analyzing energy poverty inertia across k-means clusters

Budría, Santiago; Bravo Chew, Leslie - 2025

of Moments (GMM) estimation procedure with K-means cluster analysis. K-means clustering is a fundamental tool within AI …

Persistent link: https://www.econbiz.de/10015338720

Sustainability reporting in the EU-27: The impact of national ESG ecosystems and organizational implications

Avram, Alexandru; Lungu, Georgiana Maria; Avram, Costin … - In: Amfiteatru Economic 27 (2025) 70, pp. 957-972

Sustainability reporting is a vital element that enables stakeholders to discern how companies comply with social, environmental, and governance regulations while assessing sustainable development. This study examines the national context that influences corporate sustainability reporting,...

Persistent link: https://www.econbiz.de/10015463828

Sustainability reporting in the EU-27 : the impact of national ESG ecosystems and organizational implications

Avram, Alexandru; Lungu, Georgiana Maria; Avram, Costin … - In: Amfiteatru economic : an economic and business research … 27 (2025) 70, pp. 957-972

Persistent link: https://www.econbiz.de/10015461787

Artificial Intelligence adoption in the European Union: A data-driven cluster analysis (2021-2024)

Ionașcu, Costel Marian - In: Economies 13 (2025) 5, pp. 1-38

intelligence adoption process, its dynamics and patterns using principal component analysis and K-means clustering. The results …

Persistent link: https://www.econbiz.de/10015469284

High-dimensional weighted K-means with serial dependence

Zhang, Zhonghui; Kao, Chihwa; Hwang, Jungbin - 2025

Persistent link: https://www.econbiz.de/10015474059

Clustering of countries through UMAP and k-means : a multidimensional analysis of development, governance, and logistics

Delahoz-Domínguez, Enrique; Mendoza-Mendoza, Adel; … - In: Logistics 9 (2025) 3, pp. 1-18

Background: Growing disparities in development, governance, and logistics performance across countries pose challenges for global policymaking and Sustainable Development Goal (SDG) monitoring. This study proposes a classification of 137 countries based on multiple structural dimensions. The...

Persistent link: https://www.econbiz.de/10015492746

Inference after discretizing unobserved heterogeneity

Beyhum, Jad; Mugnier, Martin - 2024

discrete approximation of the unobserved heterogeneity by (k-means) clustering observations separately across the individual (i …

Persistent link: https://www.econbiz.de/10015193955

Inference after discretizing unobserved heterogeneity

Beyhum, Jad; Mugnier, Martin - 2024

Persistent link: https://www.econbiz.de/10015176827