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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
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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
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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
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NDPD : an improved initial centroid method of partitional clustering for big data mining
Pandey, Kamlesh Kumar; Shukla, Diwakar - In: Journal of advances in management research : JAMR 20 (2023) 1, pp. 1-34
Persistent link: https://www.econbiz.de/10014304993
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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