Search Results - subject:"K-means algorithm"

Managing knowledge requirements in the npd portfolio selection process using knowledge clustering and prioritization : a case study of an Australian train operator

Sadeghi Dastaki, Mohsen; Mahootchi, Masoud; Moehler, Robert - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 2973-2985

Persistent link: https://www.econbiz.de/10015405917

Analysis of multi-objective vehicle routing problem with flexible time windows : the implication for open innovation dynamics

Kasin Ransikarbum; Niroot Wattanasaeng; Chalil … - In: Journal of open innovation : technology, market, and … 9 (2023) 1, pp. 1-15

, we initially apply the K-means algorithm to evaluate the possible locations of collection sites at the upstream of the …

Persistent link: https://www.econbiz.de/10014289321

Panel data models with time-varying latent group structures

Wang, Yiren; Phillips, Peter C. B.; Su, Liangjun - 2023

Persistent link: https://www.econbiz.de/10014317580

Panel data models with time-varying latent group structures

Wang, Yiren; Phillips, Peter C. B.; Su, Liangjun - In: Journal of econometrics 240 (2024) 1, pp. 1-24

Persistent link: https://www.econbiz.de/10015075027

K-means segmentation of tourism accommodation based on the active use of websites : its application to an emerging destination (extremadura, Spain)

Sánchez-Rivero, Marcelino; Rodríguez-Rangel, María … - In: Journal of vacation marketing 29 (2023) 4, pp. 654-669

Persistent link: https://www.econbiz.de/10014382469

What can cluster analysis offer stock investors? : evidence from the China's energy industry

Liu, Luxing; Cai, Yufeng; Wei, Yalu; Jin, Hong; Teng, … - In: Journal of information & knowledge management : JIKM 22 (2023) 2, pp. 1-26

Persistent link: https://www.econbiz.de/10014388445

A study on e-commerce customer segmentation management based on improved K-means algorithm

Deng, Yulin; Gao, Qianying - In: Information systems and e-business management : ISeB 18 (2020) 4, pp. 497-510

Persistent link: https://www.econbiz.de/10012416449

A hybrid DEA-based K-means and invasive weed optimization for facility location problem

Razi, Farshad Faezy - In: Journal of Industrial Engineering International 15 (2019) 3, pp. 499-511

In this paper, instead of the classical approach to the multi-criteria location selection problem, a new approach was presented based on selecting a portfolio of locations. First, the indices affecting the selection of maintenance stations were collected. The K-means model was used for...

Persistent link: https://www.econbiz.de/10013470783

A hybrid DEA-based K-means and invasive weed optimization for facility location problem

Razi, Farshad Faezy - In: Journal of industrial engineering international 15 (2019) 3, pp. 499-511

Persistent link: https://www.econbiz.de/10012099286

Identification and estimation in panel models with overspecified number of groups

Liu, Ruiqi; Schick, Anton; Shang, Zuofeng; Zhang, Yonghui; … - 2018 - This version: February 11, 2018

Persistent link: https://www.econbiz.de/10011891577