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An LP-based k-means algorithm for balancing weighted point sets

Borgwardt, S.; Brieden, Andreas; Gritzmann, Peter - In: European journal of operational research : EJOR 263 (2017) 2, pp. 349-355

Persistent link: https://www.econbiz.de/10011793896

A review of unsupervised k-value selection techniques in clustering algorithms

Pegado-Bardayo, Ana; Lorenzo-Espejo, Antonio; … - In: Journal of industrial engineering and management : JIEM 17 (2024) 3, pp. 641-649

Purpose: Automatic grouping of data according to certain characteristics is made possible by clustering algorithms … without shortcomings, suggesting that there is ample room for improvement. This paper briefly introduces clustering techniques … of clustering techniques. Originality/value: To date, there has been no paper comparing the new k-value estimation …

Persistent link: https://www.econbiz.de/10015376973

Improved heuristics for solving large-scale Scanning Transmission Electron Microscopy image segmentation using the ordered median problem

Muñoz-Ocaña, Juan M.; Puerto, Justo; Rodríguez … - In: Computers & operations research : an international journal 163 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10014562868

How can entrepreneurs improve digital market segmentation? : A comparative analysis of supervised and unsupervised learning algorithms

Sáez-Ortuño, Laura; Huertas-Garcia, Ruben; Coll, … - In: International entrepreneurship and management journal 19 (2023) 4, pp. 1893-1920

Persistent link: https://www.econbiz.de/10014437398

An efficient hybrid artificial bee colony algorithm for customer segmentation in mobile e-commerce

Deng, Xiaoyi - In: Journal of electronic commerce in organizations : the … 11 (2013) 2, pp. 53-63

Persistent link: https://www.econbiz.de/10010187136

Towards a faster image segmentation using the K-means algorithm on grayscale histogram

Benrais, Lamine; Baha, Nadia - In: International journal of information systems in the … 8 (2016) 2, pp. 57-69

Persistent link: https://www.econbiz.de/10011493940

The provably good parallel seeding algorithms for the k-means problem with penalties

Li, Min; Xu, Dachuan; Zhang, Dongmei; Zhou, Huiling - In: International transactions in operational research : a … 29 (2022) 1, pp. 158-171

Persistent link: https://www.econbiz.de/10012630735

Solving a bi-objective mixed-model assembly-line sequencing using metaheuristic algorithms considering ergonomic factors, customer behavior, and periodic maintenance

Rabbani, Masoud; Mokhtarzadeh, Mahdi; Manavizadeh, Neda; … - In: Opsearch : journal of the Operational Research Society … 58 (2021) 3, pp. 513-539

Persistent link: https://www.econbiz.de/10012619414

Innovative study on clustering center and distance measurement of K-means algorithm : mapreduce efficient parallel algorithm based on user data of JD mall

Liu, Yang; Du, Xinxin; Ma, Shuaifeng - In: Electronic commerce research 23 (2023) 1, pp. 43-73

Persistent link: https://www.econbiz.de/10014251584

Rule based design using clustering for knowledge acquisition

Grabusts, Peter - In: International journal of risk assessment and management … 25 (2022) 1/2, pp. 21-30

Persistent link: https://www.econbiz.de/10014227072