| Class | Description |
|---|---|
| AdjustedRandError |
This class implements the adjusted Rand error, defined as the 1 - adjusted Rand index.
|
| ClassificationStatistics |
This class stores statistics from a classification
|
| ClusteredWarpingMismatches |
This class stores the number of mismatches after applying
a topology-preserving warping.
|
| InformationStatistics | |
| Metrics |
This is the mother class for 2D segmentation metrics
|
| PixelError |
This class implements the pixel error metric
|
| RandError |
This class implements the Rand error metric.
|
| VariationOfInformation |
This class implements the variation of information metric, used
to compare clusters or segmentations.
|
| WarpingError |
This class implements the warping error metric \cite{Jain10}
BibTeX:
|
| WarpingResults |
Results from simple point warping (2D)
|
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