# Uses of Class org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution (ARX Developer Documentation)

## Uses of Class
org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution

- Packages that use HashGroupifyDistribution
  Package | Description
  --- | ---
  org.deidentifier.arx.criteria | This package implements different variants of class-based privacy criteria, such as k-anonymity, l-diversity, t-closeness and d-presence.
  org.deidentifier.arx.framework.check.groupify | This package implements different hash-groupify operators.

- - ### Uses of HashGroupifyDistribution in org.deidentifier.arx.criteria

    Methods in org.deidentifier.arx.criteria with parameters of type HashGroupifyDistribution
    Modifier and Type | Method and Description
    --- | ---
    `void` | RiskBasedCriterion.`enforce(HashGroupifyDistribution distribution, int numMaxSuppressedOutliers)`
    `abstract void` | SampleBasedCriterion.`enforce(HashGroupifyDistribution distribution, int numMaxSuppressedOutliers)` This method enforces the criterion on the current hash table.
    `protected boolean` | PopulationUniqueness.`isFulfilled(HashGroupifyDistribution distribution)` We currently assume that at any time, at least one statistical model converges.
    `protected boolean` | AverageReidentificationRisk.`isFulfilled(HashGroupifyDistribution distribution)`
    `protected abstract boolean` | RiskBasedCriterion.`isFulfilled(HashGroupifyDistribution distribution)` To be implemented by risk-based criteria
    `protected boolean` | SampleUniqueness.`isFulfilled(HashGroupifyDistribution distribution)`

  - ### Uses of HashGroupifyDistribution in org.deidentifier.arx.framework.check.groupify

    Methods in org.deidentifier.arx.framework.check.groupify with parameters of type HashGroupifyDistribution
    Modifier and Type | Method and Description
    --- | ---
    `HashGroupifyDistribution.PrivacyCondition.State` | HashGroupifyDistribution.PrivacyCondition.`isFulfilled(HashGroupifyDistribution distribution)` Evaluates the condition on the given distribution