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