Research Article
Clustering Categorical Data Using Community Detection Techniques
Table 10
Clustering results for Dermatology data.
(a) Confusion matrix |
| ā | Class | Seborrheic dermatitis | Psoriasis | Lichen planus | Chronic dermatitis | Pityriasis rosea | Pityriasis rubra pilaris |
| Seborrheic dermatitis | 61 | 0 | 2 | 0 | 49 | 0 | Psoriasis | 0 | 111 | 0 | 0 | 0 | 0 | Lichen planus | 0 | 0 | 70 | 0 | 0 | 0 | Chronic dermatitis | 0 | 1 | 0 | 52 | 0 | 0 | Pityriasis rosea | 0 | 0 | 0 | 0 | 0 | 1 | Pityriasis rubra pilaris | 0 | 0 | 0 | 0 | 0 | 19 |
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(b) Performance comparison |
| ā | Random | Cao | Khan | Proposed |
| AC | 0.5683 | 0.5984 | 0.6175 | 0.8552 | PR | 0.5318 | 0.5548 | 0.6841 | 0.7543 | RE | 0.5028 | 0.5393 | 0.6165 | 0.8189 |
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