Research Article
RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study
Table 12
Clustering results by K-means for 2018 Q4.
| Cluster (K) | (days) | (counts) | (NTD) | No. of travellers (people) |
| (1) Potential | 11.74 | 2.17 | 44.09 | 58,867 | (2) Vulnerable | 54.96 | 1.45 | 31.47 | 1,37,940 | (3) Loyal | 13.87 | 17.27 | 379.12 | 36,025 | Average | 26.86 | 6.97 | 151.56 | Total 232,832 |
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