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

Table 12

Clustering results by K-means for 2018 Q4.

Cluster (K)	(days)	(counts)	(NTD)	No. of travellers (people)
(1) Potential	11.74	2.17	44.09	58,867
(2) Vulnerable	54.96	1.45	31.47	1,37,940
(3) Loyal	13.87	17.27	379.12	36,025
Average	26.86	6.97	151.56	Total 232,832