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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

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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

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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

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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

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

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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, which makes them an essential tool when working with large datasets. However, although they are unsupervised tools, they generally require the specification of the number of...

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

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

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Rule based design using clustering for knowledge acquisition

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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

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