## Uses of Interface
org.apache.mahout.common.parameters.Parametered

Packages that use Parametered
org.apache.mahout.clustering
org.apache.mahout.clustering.canopy
org.apache.mahout.clustering.fuzzykmeans
org.apache.mahout.clustering.iterator
org.apache.mahout.clustering.kmeans: This package provides an implementation of the k-means clustering algorithm.
org.apache.mahout.common.distance
org.apache.mahout.common.parameters

Uses of Parametered in org.apache.mahout.clustering

Subinterfaces of Parametered in org.apache.mahout.clustering
`interface` `Cluster` Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations

Classes in org.apache.mahout.clustering that implement Parametered
`class` `AbstractCluster`

Uses of Parametered in org.apache.mahout.clustering.canopy

Classes in org.apache.mahout.clustering.canopy that implement Parametered
`class` `Canopy` This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.

Uses of Parametered in org.apache.mahout.clustering.fuzzykmeans

Classes in org.apache.mahout.clustering.fuzzykmeans that implement Parametered
`class` `SoftCluster`

Uses of Parametered in org.apache.mahout.clustering.iterator

Classes in org.apache.mahout.clustering.iterator that implement Parametered
`class` `DistanceMeasureCluster`

Uses of Parametered in org.apache.mahout.clustering.kmeans

Classes in org.apache.mahout.clustering.kmeans that implement Parametered
`class` `Kluster`

Uses of Parametered in org.apache.mahout.common.distance

Subinterfaces of Parametered in org.apache.mahout.common.distance
`interface` `DistanceMeasure` This interface is used for objects which can determine a distance metric between two points

Classes in org.apache.mahout.common.distance that implement Parametered
`class` `ChebyshevDistanceMeasure` This class implements a "Chebyshev distance" metric by finding the maximum difference between each coordinate.
`class` `CosineDistanceMeasure` This class implements a cosine distance metric by dividing the dot product of two vectors by the product of their lengths.
`class` `EuclideanDistanceMeasure` This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate.
`class` `MahalanobisDistanceMeasure`
`class` `ManhattanDistanceMeasure` This class implements a "manhattan distance" metric by summing the absolute values of the difference between each coordinate
`class` `MinkowskiDistanceMeasure` Implement Minkowski distance, a real-valued generalization of the integral L(n) distances: Manhattan = L1, Euclidean = L2.
`class` `SquaredEuclideanDistanceMeasure` Like `EuclideanDistanceMeasure` but it does not take the square root.
`class` `TanimotoDistanceMeasure` Tanimoto coefficient implementation.
`class` `WeightedDistanceMeasure` Abstract implementation of DistanceMeasure with support for weights.
`class` `WeightedEuclideanDistanceMeasure` This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate, optionally adding weights.
`class` `WeightedManhattanDistanceMeasure` This class implements a "Manhattan distance" metric by summing the absolute values of the difference between each coordinate, optionally with weights.

Uses of Parametered in org.apache.mahout.common.parameters

Subinterfaces of Parametered in org.apache.mahout.common.parameters
`interface` `Parameter<T>` An accessor to a parameters in the job.

Classes in org.apache.mahout.common.parameters that implement Parametered
`class` `AbstractParameter<T>`
`class` `ClassParameter`
`class` `DoubleParameter`
`class` `PathParameter`

Methods in org.apache.mahout.common.parameters with parameters of type Parametered
`static String` `Parametered.ParameteredGeneralizations.conf(Parametered parametered)`
`static void` `Parametered.ParameteredGeneralizations.configureParameters(Parametered parametered, org.apache.hadoop.conf.Configuration jobConf)`

`static void`

`Parametered.ParameteredGeneralizations.configureParameters(String prefix, Parametered parametered, org.apache.hadoop.conf.Configuration jobConf)`
Calls `createParameters(String,org.apache.hadoop.conf.Configuration)` on parameter parmetered, and then recur down its composite tree to invoke `createParameters(String,org.apache.hadoop.conf.Configuration)` and `configure(org.apache.hadoop.conf.Configuration)` on each composite part.

`static String` `Parametered.ParameteredGeneralizations.help(Parametered parametered)`

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