Research Article
Research on Segmenting E-Commerce Customer through an Improved K-Medoids Clustering Algorithm
Table 4
The table of partial data of RFMCV model after normalized treatment.
| Customer_unique_id | R | F | M | C | V |
| 5 | −0.000902 | 2.068466 | −0.097700 | −0.745080 | −0.397498 | 18 | −0.623415 | −0.018191 | 1.465430 | 1.340590 | −0.390554 | 22 | 1.247733 | 3.807347 | 0.597041 | −0.390554 | −0.390554 | … | … | … | … | … | … | 906311 | −0.625219 | −0.365967 | −1.139736 | −0.397498 | −0.390554 | 906338 | 0.935574 | 1.025137 | 0.324119 | 0.167400 | −0.390554 | 906355 | 0.311257 | −0.677361 | −0.097700 | 0.428109 | −0.390554 |
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