Research Article
Mobile Anomaly Detection Based on Improved Self-Organizing Maps
Table 1
The comparison in Iris dataset.
| | Size | Algorithm1 | Algorithm2 | | max AR | min AR | Ave Ar | Threshold | AR |
| | 96.67% | 33.33% | 71.00% | 0.90 | 93.33% | | 86.67% | 53.33% | 72.00% | 0.97 | 93.33% | | 96.67% | 43.33% | 69.67% | 0.97 | 100.00% | | 96.67% | 46.67% | 63.33% | 0.97 | 93.33% | | 96.67% | 53.33% | 74.00% | 0.90 | 100.00% | | 93.33% | 53.33% | 75.33% | 0.89 | 100.00% | | 100.00% | 73.33% | 85.67% | 0.88 | 100.00% | | 93.33% | 46.67% | 76.00% | 0.88 | 100.00% | | 100.00% | 73.33% | 90.00% | 0.85 | 100.00% | | 96.67% | 80.00% | 85.00% | 0.69 | 100.00% | | 100.00% | 60.00% | 83.00% | 0.66 | 100.00% | | 100.00% | 63.33% | 85.33% | 0.58 | 100.00% | | 96.67% | 76.67% | 88.67% | 0.51 | 100.00% |
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