Research Article
RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study
Table 9
Clustering results by K-means for 2018 Q1.
| Cluster (K) | (days) | (counts) | (NTD) | No. of travellers (people) |
| (1) Potential | 10.09 | 1.01 | 30.04 | 759 | (2) Vulnerable | 51.52 | 1.01 | 28.71 | 2,018 | (3) Loyal | 22.02 | 3.05 | 82.36 | 321 | Average | 27.88 | 1.69 | 47.04 | Total 3,098 |
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