medusa.georgios.enhanced_mcl

Class MCL

java.lang.Object

medusa.georgios.enhanced_mcl.MCL

All Implemented Interfaces:

Clusterer

public class MCL
extends java.lang.Object
implements Clusterer

Constructor Summary

Constructors

Constructor and Description
MCL(DistanceMeasure dm) XXX doc
MCL(DistanceMeasure dm, double maxResidual, double pGamma, double loopGain, double maxZero) XXX doc

Method Summary

Modifier and Type	Method and Description
Dataset[]	cluster(Dataset data) This method will execute the clustering algorithm on a particular data set.

Methods inherited from class java.lang.Object

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

Constructor Detail

MCL

public MCL(DistanceMeasure dm)

XXX doc

Parameters:

dm -

MCL

public MCL(DistanceMeasure dm,
           double maxResidual,
           double pGamma,
           double loopGain,
           double maxZero)

XXX doc

Parameters:

dm -

maxResidual -

gamma -

loopGain -

maxZero -

Method Detail

cluster

public Dataset[] cluster(Dataset data)

Description copied from interface: Clusterer

This method will execute the clustering algorithm on a particular data set. The result will be an array of Dataset where each data set is a cluster.

Specified by:

cluster in interface Clusterer

Parameters:

data - the data set on which to execute the clustering.

Returns:

the different clusters obtained by this clustering algorithm. Each cluster is represented as a separate data set.