Research Article
RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study
Table 10
Clustering results by K-means for 2018 Q2.
| Cluster (K) | (days) | (counts) | (NTD) | No. of travellers (people) |
| (1) Potential | 9.80 | 2.06 | 44.20 | 57,689 | (2) Vulnerable | 53.90 | 1.40 | 32.74 | 1,51,145 | (3) Loyal | 13.21 | 14.89 | 333.83 | 35,671 | Average | 25.63 | 6.12 | 136.92 | Total 244,505 |
|
|