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

Table 14

Clustering results by K-means for 2019 Q2.

Cluster (K)	(days)	(counts)	(NTD)	No. of travellers (people)
(1) Potential	9.39	2.25	44.53	56,586
(2) Vulnerable	53.17	1.49	31.69	1,46,512
(3) Loyal	13.00	16.82	365.63	38,395
Average	25.19	6.85	147.28	Total 241,493