Importance Degree Evaluation of Spare Parts Based on Clustering Algorithm and Back-Propagation Neural Network

Table 1

Total variance explained.

Ingredient	Initial eigenvalue			Extract load sum of squares
	Sum	Variance (%)	Sum (%)	Sum	Variance (%)	Sum (%)
1	3.929	49.127	49.127	3.929	49.127	49.127
2	2.351	29.391	78.518	2.351	29.391	78.518
3	1.033	12.908	91.426	1.033	12.908	91.426
4	0.382	4.7755	96.2015
5	0.209	2.6128	98.8143
6	0.055	0.6875	99.5018
7	0.038	0.4751	99.9769
8	0.002	0.025	100.000