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Research on Segmenting E-Commerce Customer through an Improved K-Medoids Clustering Algorithm
In view of the shortcomings of traditional clustering algorithms in feature selection and clustering effect, an improved Recency, Frequency, and Money (RFM) model is introduced, and an improved K-medoids algorithm is proposed. Above model and algorithm are employed to segment customers of e-commerce...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233613/ https://www.ncbi.nlm.nih.gov/pubmed/35761867 http://dx.doi.org/10.1155/2022/9930613 |