CFKPlusPlusTree.Par (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization.Par
- - elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par

All Implemented Interfaces:

elki.utilities.optionhandling.Parameterizer

Enclosing class:

CFKPlusPlusTree
```
public static class CFKPlusPlusTree.Par
extends AbstractCFKMeansInitialization.Par
```
Parameterization class.

Author:

Andreas Lang

Field Summary

Fields
Modifier and Type	Field	Description
`(package private) int`	`depth`	Maximum depth to choose from.
`static elki.utilities.optionhandling.OptionID`	`DEPTH_ID`	Depth of the trunk based stragegy.
`(package private) CFInitWeight`	`dist`	Distance function to use for initial means
`static elki.utilities.optionhandling.OptionID`	`FIRST_UNIFORM_ID`	Choose the first center based on variance contribution.
`(package private) boolean`	`firstUniform`	Choose the first center uniformly from the cluster feature.
`static elki.utilities.optionhandling.OptionID`	`KMPP_DISTANCE_ID`	k Means distance.

Fields inherited from class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization.Par
rnd, SEED_ID

Constructor Summary

Constructors
Constructor Description

Par()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`configure(elki.utilities.optionhandling.parameterization.Parameterization config)`
`CFKPlusPlusTree`	`make()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - DEPTH_ID
```
public static final elki.utilities.optionhandling.OptionID DEPTH_ID
```
    Depth of the trunk based stragegy.
  - KMPP_DISTANCE_ID
```
public static final elki.utilities.optionhandling.OptionID KMPP_DISTANCE_ID
```
    k Means distance.
  - FIRST_UNIFORM_ID
```
public static final elki.utilities.optionhandling.OptionID FIRST_UNIFORM_ID
```
    Choose the first center based on variance contribution.
  - dist
```
CFInitWeight dist
```
    Distance function to use for initial means
  - firstUniform
```
boolean firstUniform
```
    Choose the first center uniformly from the cluster feature.
  - depth
```
int depth
```
    Maximum depth to choose from.
- Constructor Detail
  - Par
```
public Par()
```
- Method Detail
  - configure
```
public void configure(elki.utilities.optionhandling.parameterization.Parameterization config)
```
    Specified by:
    
    configure in interface elki.utilities.optionhandling.Parameterizer
    
    Overrides:
    
    configure in class AbstractCFKMeansInitialization.Par
  - make
```
public CFKPlusPlusTree make()
```