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

Table 13

Clustering results by K-means for 2019 Q1.

Cluster (K)	(days)	(counts)	(NTD)	No. of travellers (people)
(1) Potential	9.30	2.13	42.85	58,903
(2) Vulnerable	54.22	1.45	31.24	1,43,236
(3) Loyal	11.55	16.18	352.38	35,685
Average	25.02	6.59	142.16	Total 237,824