Analyzing Patients’ Values by Applying Cluster Analysis and LRFM Model in a Pediatric Dental Clinic in Taiwan

Table 4

Descriptive statistics of twelve clusters based on SOM technique.

Cluster	Number of patients	Average length (L)	Average recency(R)	Average frequency(F)	Average; age	Average gender	Item (s) above average
1	68	3,543.34	449.34	2.56	13.54	1.49	L
2	64	1,372.28	663.73	11.98	6.27	1.44	LRF
3	145	416.01	79.24	1.47	7.78	1.50	—
4	236	215.86	655.53	2.19	5.20	1.50	R
5	100	1,878.34	438.60	2.43	9.99	1.47	L
6	79	4,094.89	655.58	4.08	14.19	1.44	LRF
7	107	2,602.78	142.68	1.58	12.30	1.50	L
8	170	694.51	673.61	6.67	5.88	1.51	RF
9	139	2,257.51	653.85	4.78	10.27	1.52	LRF
10	142	136.82	432.74	1.66	6.43	1.51	—
11	71	644.42	457.46	6.06	6.25	1.48	F
12	141	403.88	255.55	2.27	7.44	1.49	—
Total	1,462	1,220.15	468.88	3.55	8.17	1.49