Research on Enterprise Financial Customer Classification Method and Preference Based on Intelligent Algorithm

Table 5

Sample variance contribution rate table.

Composition	Initial eigenvalue			Extract sum of squares and load			Rotation sum of square loading
	Total	Variance%	Cumulative%	Total	Variance%	Cumulative%	Total
1	2.544	15.898	15.898	2.544	15.898	15.898	2.506
2	1.569	9.808	25.706	1.569	9.808	25.706	1.475
3	1.414	8.835	34.541	1.414	8.835	34.541	1.408
4	1.242	7.761	42.302	1.242	7.761	42.302	1.251
5	1.159	7.246	49.548	1.159	7.246	49.548	1.256
6	1.100	6.877	56.425	1.100	6.877	56.425	1.254
7	1.023	6.396	62.820	1.023	6.396	62.820	1.063
8	0.937	5.858	68.678
9	0.880	5.499	74.176
10	0.837	5.232	79.409
11	0.803	5.018	84.427
12	0.753	4.706	89.133
13	0.620	3.877	93.010
14	0.555	3.471	96.482
15	0.397	2.483	98.965
16	0.166	1.035	100.000