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

Table 6

Clustering results by K-means for 2018.

Cluster (K)	(days)	(counts)	(NTD)	No. of travellers (people)
(1) Potential	27.73	2.43	50.16	1,16,154
(2) Vulnerable	165.17	1.62	37.29	3,28,375
(3) Loyal	54.93	23.66	523.33	82,168
Average	82.61	9.24	203.60	Total 526,697