Research Article
Clustering Categorical Data Using Community Detection Techniques
Table 11
Clustering results for Nursery data.
(a) Confusion matrix |
| ā | Class | Not_recom | Recommend | Very_recom | Priority | Spec_prior |
| Not_recom | 1440 | 0 | 132 | 1484 | 1264 | recommend | 0 | 0 | 0 | 0 | 0 | Very_recom | 0 | 0 | 0 | 0 | 0 | Priority | 1440 | 2 | 196 | 1924 | 758 | Spec_prior | 1440 | 0 | 0 | 858 | 2022 |
|
|
(b) Performance comparison |
| ā | Random | Cao | Khan | Proposed |
| AC | 0.3331 | 0.3673 | 0.2804 | 0.4156 | PR | 0.2902 | 0.2978 | 0.2304 | 0.6494 | RE | 0.2592 | 0.2273 | 0.2044 | 0.2569 |
|
|