Research Article
Establishment of the Credit Indicator System of Micro Enterprises Based on Support Vector Machine and R-Type Clustering
Table 5
The second round of indicator selection based on R-type clustering.
| Serial number | (a) Criteria layer | (b) Indicator name | Clusters | Sig. value of - test |
| Selection results |
| 1 | Internal financial factors | Cash recovery rate of all assets | The 1st cluster | 0.2698 | 25.820 | Retain | | | | | 4 | Net cash flow from operating activities | 10.259 | Delete | | | | | | | 17 | The ratio of shareholders’ equity | The 8th cluster | 0.0535 | 16.533 | Retain | 18 | The ratio of assets and liabilities | 16.464 | Delete |
| 19 | Nonfinancial factors within the enterprise | The proportion of the total amount of money withdrawn by the enterprise through the bank | The 9th cluster | 0.2161 | 8.227 | Retain | 20 | The range of product sales | 4.726 | Delete | | | | | | | 36 | The credit situation of enterprise in the last three years | The 18th cluster | 0.0357 | 48.551 | Retain | 37 | The level of enterprise’s in place registered capital | 11.510 | Delete |
| 39 | External macro environmental factors | Industry sentiment indicator | The 19th cluster | — | 3.324 | Retain | 40 | Engel coefficient | The 20th cluster | 0.8550 | 81.689 | Retain | | | | | 43 | Per capita disposable income of urban residents | 80.611 | Delete |
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