Research Article
Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint
Table 7
NMI comparison of different algorithms under different data sets.
| Algorithm | WBC | Vote | Dermatology | Dnatest | Pima | Vowel | TOX-171 | Abalone |
| K-means | 0.7436 | 0.3387 | 0.8231 | 0.2675 | 0.0267 | 0.4469 | 0.1418 | 0.1591 | FCM | 0.7223 | 0.3333 | 0.3203 | 0.1778 | 0.0317 | 0.2397 | 0.0722 | 0.1412 | Rcut | 0.0042 | 0.0045 | 0.0201 | 0.0018 | 0.0010 | 0.0203 | 0.0222 | 0.0054 | Ncut | 0.0024 | 0.3458 | 0.6556 | 0.0090 | 0.0043 | 0.3833 | 0.0181 | 0.1617 | FC-PFS | 0.7223 | 0.3333 | 0.3193 | 0.1682 | 0.0317 | 0.2063 | 0.0722 | 0.1456 | INCM | 0.1148 | 0.2918 | 0.0117 | 0.1787 | 0.0022 | 0.2341 | 0.0685 | 0.1596 | SNCM | 0.7494 | 0.3478 | 0.8079 | 0.2786 | 0.0267 | 0.4436 | 0.1355 | 0.1286 |
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The bold values indicate the highest NMI, and the values in italics indicate the second highest.
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