de.lmu.ifi.dbs.elki.math

Class FlexiHistogram.Adapter<T,D>

java.lang.Object

de.lmu.ifi.dbs.elki.math.ReplacingHistogram.Adapter<T>

de.lmu.ifi.dbs.elki.math.AggregatingHistogram.Adapter<T,D>

de.lmu.ifi.dbs.elki.math.FlexiHistogram.Adapter<T,D>

Type Parameters:

T - Type of data in histogram

D - Type of input data

Enclosing class:

FlexiHistogram<T,D>

public abstract static class FlexiHistogram.Adapter<T,D>
extends AggregatingHistogram.Adapter<T,D>

Adapter interface to specify bin creation, data caching and combination.

Constructor Summary

Constructors

Constructor and Description
FlexiHistogram.Adapter()

Method Summary

Methods

Modifier and Type	Method and Description
abstract D	cloneForCache(D data) Clone a data passed to the algorithm for computing the initial size.
abstract T	downsample(T first, T second) Rule to combine two bins into one.

Methods inherited from class de.lmu.ifi.dbs.elki.math.AggregatingHistogram.Adapter

aggregate

Methods inherited from class de.lmu.ifi.dbs.elki.math.ReplacingHistogram.Adapter

make

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FlexiHistogram.Adapter

public FlexiHistogram.Adapter()

Method Detail

downsample

public abstract T downsample(T first,
           T second)

Rule to combine two bins into one. first and second MAY be modified and returned.

Parameters:

first - First bin value

second - Second bin value

Returns:

combined bin value

cloneForCache

public abstract D cloneForCache(D data)

Clone a data passed to the algorithm for computing the initial size.

Parameters:

data - Data to be cloned

Returns:

cloned data