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Hierarchical clustering benchmark results for base sklearn
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| ============================== | |
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| n_samples 01000; n_features 02 | |
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| n_samples 01000; n_features 10 | |
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| n_samples 01000; n_features 20 | |
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| n_samples 01000; n_features 50 | |
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| n_samples 03000; n_features 02 | |
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| n_samples 03000; n_features 10 | |
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| Iteration 007 of 032 | |
| n_samples 03000; n_features 20 | |
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| Iteration 008 of 032 | |
| n_samples 03000; n_features 50 | |
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| n_samples 05000; n_features 02 | |
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| n_samples 05000; n_features 10 | |
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| n_samples 05000; n_features 20 | |
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| Speed: 0.910s | |
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| Iteration 012 of 032 | |
| n_samples 05000; n_features 50 | |
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| n_samples 07000; n_features 02 | |
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| n_samples 07000; n_features 10 | |
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| n_samples 07000; n_features 20 | |
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| n_samples 07000; n_features 50 | |
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| n_samples 09000; n_features 02 | |
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| n_samples 09000; n_features 10 | |
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| Iteration 019 of 032 | |
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| n_samples 11000; n_features 02 | |
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| n_samples 11000; n_features 10 | |
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| Iteration 023 of 032 | |
| n_samples 11000; n_features 20 | |
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| n_samples 11000; n_features 50 | |
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| n_samples 13000; n_features 02 | |
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| n_samples 13000; n_features 10 | |
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| n_samples 13000; n_features 20 | |
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| Speed: 6.547s | |
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| n_samples 13000; n_features 50 | |
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| Speed: 4.907s | |
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| Speed: 8.785s | |
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| Iteration 029 of 032 | |
| n_samples 15000; n_features 02 | |
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| Speed: 2.307s | |
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| Speed: 5.756s | |
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| Iteration 030 of 032 | |
| n_samples 15000; n_features 10 | |
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| Speed: 7.722s | |
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| Iteration 031 of 032 | |
| n_samples 15000; n_features 20 | |
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| Speed: 8.794s | |
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| Iteration 032 of 032 | |
| n_samples 15000; n_features 50 | |
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| Speed: 12.070s | |
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