Contains classes for computing the BACON outlier detection.
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| struct | Parameter |
| | Parameters of the outlier detection computation using the baconDense method. More...
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| class | Input |
| | Input objects for the BACON outlier detection algorithm More...
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| class | Result |
| | Results obtained with the compute() method of the BACON outlier detection algorithm in the batch processing mode. More...
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| enum InitializationMethod |
Available initialization method for the BACON outlier detection algorithm
| Enumerator |
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| baconMedian |
Median-based method
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| baconMahalanobis |
Mahalanobis distance-based method
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Available identifiers of input objects for the BACON outlier detection algorithm
| Enumerator |
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| data |
Input data table
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Available computation methods for the BACON outlier detection algorithm
| Enumerator |
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| defaultDense |
Blocked Adaptive Computationally-efficient Outlier Nominators(BACON) method
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Available identifiers of the results of the BACON outlier detection algorithm
| Enumerator |
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| weights |
Outlier detection results
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