方法对比
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| 调整兰德指数× | 福尔克斯-马洛斯指数× | |
|---|---|---|
| 领域 | 模型评估 | 模型评估 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 1985 | 1983 |
| 提出者≠ | Lawrence Hubert, Phipps Arabie | E. B. Fowlkes, C. L. Mallows |
| 类型≠ | External similarity metric | Pair-counting metric |
| 开创性文献≠ | Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193-218. DOI ↗ | Fowlkes, E. B., & Mallows, C. L. (1983). A method for comparing two hierarchical clusterings. Journal of the American Statistical Association, 78(383), 553-569. DOI ↗ |
| 别名 | ARI, adjusted Rand coefficient | Fowlkes Mallows, FM index |
| 相关 | 5 | 5 |
| 摘要≠ | The Adjusted Rand Index (ARI), developed by Hubert and Arabie in 1985, is an external clustering evaluation metric that measures the agreement between a predicted clustering and a ground truth labeling. It ranges from -1 to 1, where 1 indicates perfect agreement, 0 indicates random clustering, and negative values indicate performance worse than random chance. | The Fowlkes-Mallows Index, introduced by Fowlkes and Mallows in 1983, is an external clustering evaluation metric based on the geometric mean of precision and recall. It measures agreement between two partitions by examining pairs of points and how they are grouped in both the predicted and ground truth clusterings. Values range from 0 to 1, with 1 indicating perfect agreement. |
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