Research Article
Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms
Table 11
Comparative analysis of IFPCM algorithm with other Fuzzy clustering methods in terms of Pureness ratio.
| Fuzzy clustering method | Datasets | Parameters | Iris | Wine | Thyroid | Cancer | Sonar |
| IFPCM | | 93.62 | 93.86 | 98.55 | 98.16 | 55.39 | FPCM | | 91.60 | 93.09 | 96.46 | 96.28 | 53.36 | FCM [7] | | 89.93 | 90.46 | 96.08 | 95.83 | 53.61 | PCM [8] |
| 80.80 | 91.42 | 87.78 | 77.17 | 52.72 | AFCM [18] |
| 89.79 | 94.68 | 69.46 | 73.90 | 56.47 | EFC [19] |
| 96.68 | 87.15 | 45.15 | 95.60 | — | FMSFA [20] |
| 98.72 | 96.26 | 91.44 | 94.96 | — | FPRk [21] |
| 79.60 | 96.50 | 96.18 | — | — |
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