An unsupervised classification model for IFCB data detecting anomalous distributions of ROI positions.
This code uses Isolation Forests and a variety of features.
Note: most of this code was written by Claude 3.5 Sonnet and gpt-4o.
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An unsupervised classification model for IFCB data detecting anomalous distributions of ROI positions
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An unsupervised classification model for IFCB data detecting anomalous distributions of ROI positions
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