Cluster specific statistics.
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#include <clusterstats.h>
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| void | CopyTo (CClusterStats *Instance) |
| | Copy object to new object instance.
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| std::string | GetStatusString (int CurrentIndent=0, int AdditionalIndent=4) const |
| | Generate print string for object values.
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| void | Reset () |
| | Clear object values.
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| void | ResetGhostClusters () |
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| bool | Serialize (const char *VarPath, const char *ThisVarName, struct archive *Archive, bool IsLoading) |
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uint32_t | m_AnomalyIndex |
| | Measure of how small (or rarely occurring) the cluster is.
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float | m_Confidence |
| | Value from 0 to 1 signifying how close the nearest cluster is in relation (is 0 if in the model)
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uint64_t | m_CreatedAtInferenceNumber |
| | the number of inferences when this cluster was created (used to create the growth curve)
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uint32_t | m_DistanceIndex |
| | Distance from the cluster to the model centroid.
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uint32_t | m_FrequencyIndex |
| | Measure of how the cluster size relates to the mean cluster size.
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int | m_GhostID |
| | ID of the non-model anomalous cluster (is 0 if in the model)
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int | m_NearestNeighborID |
| | ID of the next closest cluster (is 0 if in the model)
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uint16_t | m_NoveltyIndex |
| | Nonzero value of how far the ghost cluster is outside of the model (0 if value is in the model)
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uint32_t | m_PCAX |
| | PCA x coordinate.
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uint32_t | m_PCAY |
| | PCA y coordinate.
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uint32_t | m_PCAZ |
| | PCA z coordinate.
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uint32_t | m_ProbabilityIndex |
| | Probability of the cluster occurring.
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std::vector< float > | m_RootCauseVector |
| | Vector of length of pattern * streaming window with probabilities that each feature contribute to cluster categorization.
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uint64_t | m_Size |
| | number of patterns that have been assigned to this cluster
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Contains indexes on anomalous, distance, spatial position, etc
- Examples
- full-example.cpp, and results.cpp.
The documentation for this class was generated from the following file: