Determination of Customer Satisfaction using Improved K-means algorithm-Reference-Cited by-同舟云学术

Determination of Customer Satisfaction using Improved K-means algorithm

Published:2020-05-29 Issue:22 Volume:24 Page:16947-16965
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Zare Hamed,Emadi Sima^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-020-04988-4.pdf

Reference86 articles.

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3. Anitha P, Patil MM (2019) RFM model for customer purchase behavior using K-means algorithm. J King Saud Univ Comput Inf Sci. https://doi.org/10.1016/j.jksuci.2019.12.011

4. Ansari A, Riasi A (2016) Customer clustering using a combination of fuzzy c-means and genetic algorithms. Int J Bus Manag 11(7):59–66

5. Arthur D, Vassilvitskii S (2007) K-means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms, pp 1027–1035. Society for Industrial and Applied Mathematics

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