Research Article
Localized Ambient Solidity Separation Algorithm Based Computer User Segmentation
Table 3
Results generated by dissimilarity increments clustering method.
| Segment | Size | Gender | Age | Education level | Income level | Computer using frequency (times/week) | Computer using time (hours/week) | Website browsing time (hours/week) |
| 1 | 24 | Male: 100% Female: 0% | 28 | Junior college | 2001–5000 Yuan | 6.7 | 67.5 | 0.6 |
| 2 | 35 | Male: 100% Female: 0% | 24 | Bachelor degree | 0–500 Yuan | 6.5 | 44.8 | 4.4 |
| 3 | 58 | Male: 100% Female: 0% | 41 | Junior college | 3001–5000 Yuan | 5.7 | 44.7 | 2.9 |
| 4 | 70 | Male: 100% Female: 0% | 32 | Senior school | 2001–3000 Yuan | 6 | 33 | 3.1 |
| 5 | 185 | Male: 100% Female: 0% | 32 | Bachelor degree | 2001–5000 Yuan | 5.9 | 39 | 6.7 |
| 6 | 352 | Male: 42% Female: 58% | 32 | Junior college | 1501–3000 Yuan | 6.5 | 42.1 | 5.1 |
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