RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study

Table 11

Clustering results by K-means for 2018 Q3.

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