divik
package¶
Unsupervised high-throughput data analysis methods
- divik.reject_split(tree, rejection_size=0)[source]¶
Re-apply rejection condition on known result tree.
- Return type
Optional
[DivikResult
]
Modules
Clustering methods |
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Reusable utilities used for building divik library |
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Unsupervised feature extraction methods |
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Unsupervised feature selection methods |
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Sampling methods for statistical indices computation purposes |
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