Search Results - subject:"k means clustering"

Optimisation of COVID-19 vaccination process using GIS, machine learning, and the multi-layered transportation model

Mengüç, Kenan; Aydin, Nezir; Ulu, Mesut - In: International journal of production research 63 (2025) 2, pp. 404-417

Persistent link: https://www.econbiz.de/10015197320

AI-enhanced robust method for integrated healthcare resource pre-positioning and patient scheduling

Liu, Yang; Zhang, Jianghua; Chan, Felix T. S. - In: International journal of production research 63 (2025) 2, pp. 729-757

Persistent link: https://www.econbiz.de/10015197627

Social protection expansions during crisis and fiscal space: From ad hoc to durable solutions?

Oppel, Annalena - 2022

This study provides a first attempt to contribute a large-scale assessment of whether crisis response as observed during the COVID-19 pandemic can serve as a feasible blueprint for creating durable solutions across countries. Adopting a lens on fiscal contracts, it assesses highlevel parameters...

Persistent link: https://www.econbiz.de/10013472623

Robustification of the k-means clustering problem and tailored decomposition methods: when more conservative means more accurate

Burgard, Jan Pablo; Moreira Costa, Carina; Schmidt, Martin - In: Annals of Operations Research 339 (2022) 3, pp. 1525-1568

k -means clustering is a classic method of unsupervised learning with the aim of partitioning a given number of … because the k -means clustering result then represents a clustering of the erroneous measurements instead of retrieving the … of the k -means clustering problem. Since the nominal problem is already NP-hard, global approaches are often not …

Persistent link: https://www.econbiz.de/10015165592