Research Article
RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study
Table 7
Clustering results by K-means for 2019.
| Cluster (K) | (days) | (counts) | (NTD) | No. of travellers (people) |
| (1) Potential | 21.89 | 2.80 | 56.22 | 1,05,240 | (2) Vulnerable | 122.85 | 1.56 | 33.34 | 2,58,535 | (3) Loyal | 32.81 | 24.93 | 539.59 | 62,942 | Average | 59.18 | 9.76 | 209.72 | Total 426,717 |
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