Clustering on Synthetic Data 5000x50-10k+25NF
1ARIk-means++
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| k-means++selection_criterion=best ARI from best criterion output, num_experiments_per_dataset=25, num_datasets_per_config=502025.08 | 1 | 0 | |
| FWSAselection_criterion=best ARI from best criterion output, num_experiments_per_dataset=25, num_datasets_per_config=502025.08 | 1 | 0 | |
| SHARKselection_criterion=best ARI from best criterion output, num_experiments_per_dataset=25, num_datasets_per_config=502025.08 | 1 | 0 | |
| LWk-meansselection_criterion=best ARI from best criterion output, num_experiments_per_dataset=25, num_datasets_per_config=502025.08 | 0.79 | 0.066 | |
| KMTDselection_criterion=best ARI from best criterion output, num_experiments_per_dataset=25, num_datasets_per_config=502025.08 | 0.702 | 0.095 |