de.lmu.ifi.dbs.elki.application.cache

Class CacheDoubleDistanceKNNLists<O>

java.lang.Object

de.lmu.ifi.dbs.elki.application.AbstractApplication

de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists<O>

Type Parameters:

O - Object type

public class CacheDoubleDistanceKNNLists<O>
extends AbstractApplication

Precompute the k nearest neighbors in a disk cache.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CacheDoubleDistanceKNNLists.Parameterizer<O> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private DistanceFunction<O>	distance Distance function that is to be cached.
private InputStep	input Data source to process.
private int	k Number of neighbors to precompute.
static int	KNN_CACHE_MAGIC Magic number to identify files.
private static Logging	LOG The logger for this class.
private File	out Output file.

Fields inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication

REFERENCE, VERSION

Constructor Summary

Constructors

Constructor and Description
CacheDoubleDistanceKNNLists(InputStep input, DistanceFunction<O> distance, int k, File out) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
static void	main(String[] args) Main method, delegate to super class.
void	run() Runs the application.

Methods inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication

printErrorMessage, runCLIApplication, usage

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger for this class.

input

private InputStep input

Data source to process.

distance

private DistanceFunction<O> distance

Distance function that is to be cached.

k

private int k

Number of neighbors to precompute.

out

private File out

Output file.

KNN_CACHE_MAGIC

public static final int KNN_CACHE_MAGIC

Magic number to identify files. Note, when cloning this class, and performing any incompatible change to the file format, you should also change this magic ID!

See Also:

Constant Field Values

Constructor Detail

CacheDoubleDistanceKNNLists

public CacheDoubleDistanceKNNLists(InputStep input,
                           DistanceFunction<O> distance,
                           int k,
                           File out)

Constructor.

Parameters:

input - Data source

distance - Distance function

k - Number of nearest neighbors

out - Matrix output file

Method Detail

run

public void run()

Description copied from class: AbstractApplication

Runs the application.

Specified by:

run in class AbstractApplication

main

public static void main(String[] args)

Main method, delegate to super class.

Parameters:

args - Command line arguments