## Uses of Class
org.deidentifier.arx.metric.v2.AbstractMetricMultiDimensional

Packages that use AbstractMetricMultiDimensional
org.deidentifier.arx.metric.v2: Main package implementing quality models

### Uses of AbstractMetricMultiDimensional in org.deidentifier.arx.metric.v2

Subclasses of AbstractMetricMultiDimensional in org.deidentifier.arx.metric.v2
`class` `AbstractMetricMultiDimensionalPotentiallyPrecomputed` This class provides an abstract skeleton for the implementation of metrics that can either be precomputed or not.
`class` `MetricMDHeight` This class provides an implementation of the Height metric.
`class` `MetricMDNMLoss` This class implements a variant of the Loss metric.
`class` `MetricMDNMLossPotentiallyPrecomputed` This class implements a variant of the Loss metric.
`class` `MetricMDNMLossPrecomputed` This class implements a variant of the Loss metric.
`class` `MetricMDNMPrecision` This class provides an implementation of a weighted precision metric as proposed in: Sweeney, L. (2002).
`class` `MetricMDNUEntropy` This class provides an implementation of the non-uniform entropy metric.
`class` `MetricMDNUEntropyPotentiallyPrecomputed` This class provides an implementation of the non-uniform entropy metric.
`class` `MetricMDNUEntropyPrecomputed` This class provides an efficient implementation of the non-uniform entropy metric.
`class` `MetricMDNUNMEntropy` This class provides an implementation of the non-uniform entropy metric.
`class` `MetricMDNUNMEntropyPotentiallyPrecomputed` This class provides an implementation of the non-uniform entropy metric.
`class` `MetricMDNUNMEntropyPrecomputed` This class provides an implementation of the non-uniform entropy metric.
`class` `MetricMDNUNMNormalizedEntropy` This class provides an implementation of normalized non-uniform entropy.
`class` `MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed` This class provides an implementation of normalized non-uniform entropy.
`class` `MetricMDNUNMNormalizedEntropyPrecomputed` This class provides an efficient implementation of normalized non-uniform entropy.
`class` `MetricMDPrecision` This class provides an implementation of a weighted precision metric as proposed in: Sweeney, L. (2002).
`class` `MetricMDStatic` This class provides an implementation of a static metric in which information loss is user-defined per generalization level.