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Copy file name to clipboardExpand all lines: docs/build/reference/aggregator/index.md
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**:octicons-people-24: Intended audience:** Linked Data Experts and Domain Experts
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| Name | Description |
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|------------------------:|:---------|
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|[And](min.md)| All input scores must be within the threshold. Selects the minimum score. |
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|[Average](average.md)| Computes the weighted average. |
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|[Euclidian distance](quadraticMean.md)| Calculates the Euclidian distance. |
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|[First non-empty score](firstNonEmpty.md)| Forwards the first input that provides a non-empty similarity score. |
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|[Geometric mean](geometricMean.md)| Compute the (weighted) geometric mean. |
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|[Handle missing values](handleMissingValues.md)| Generates a default similarity score, if no similarity score is provided (e.g., due to missing values). Using this operator can have a performance impact, since it lowers the efficiency of the underlying computation. |
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|[Negate](negate.md)| Negates the result of the input comparison. A single input is expected. Using this operator can have a performance impact, since it lowers the efficiency of the underlying computation. |
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|[Or](max.md)| At least one input score must be within the threshold. Selects the maximum score. |
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|[Scale](scale.md)| Scales a similarity score by a factor. |
|[And](min.md)| None| All input scores must be within the threshold. Selects the minimum score. |
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|[Average](average.md)| None| Computes the weighted average. |
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|[Euclidian distance](quadraticMean.md)| None| Calculates the Euclidian distance. |
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|[First non-empty score](firstNonEmpty.md)| None| Forwards the first input that provides a non-empty similarity score. |
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|[Geometric mean](geometricMean.md)| None| Compute the (weighted) geometric mean. |
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|[Handle missing values](handleMissingValues.md)| None| Generates a default similarity score, if no similarity score is provided (e.g., due to missing values). Using this operator can have a performance impact, since it lowers the efficiency of the underlying computation. |
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|[Negate](negate.md)| None| Negates the result of the input comparison. A single input is expected. Using this operator can have a performance impact, since it lowers the efficiency of the underlying computation. |
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|[Or](max.md)| None| At least one input score must be within the threshold. Selects the maximum score. |
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|[Scale](scale.md)| None| Scales a similarity score by a factor. |
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