trainableSegmentation.unsupervised

Class PixelClustering

java.lang.Object

trainableSegmentation.unsupervised.PixelClustering

public class PixelClustering
extends Object

This class contains all the library methods to perform unsupervised learning on pixels based on the Weka clusterers.

Author:

Josu Salinas and Ignacio Arganda-Carreras

Constructor Summary

Constructors

Constructor and Description
PixelClustering() Empty constructor
PixelClustering(weka.core.Instances featuresInstances, weka.clusterers.AbstractClusterer clusterer) Construct PixelClustering object with a specific set of instances and clustering model

Method Summary

Modifier and Type	Method and Description
void	buildClusterer() Build current clusterer based on the current instances
weka.core.Instances	getFeaturesInstances() Get features instances that are being used
weka.clusterers.AbstractClusterer	getSelectedClusterer() Get selected clusterer
void	setFeaturesInstances(weka.core.Instances featuresInstances) Set feature instances to be used
void	setSelectedClusterer(weka.clusterers.AbstractClusterer selectedClusterer) Set selected clusterer

Methods inherited from class java.lang.Object

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

Constructor Detail

PixelClustering

public PixelClustering()

Empty constructor

PixelClustering

public PixelClustering(weka.core.Instances featuresInstances,
                       weka.clusterers.AbstractClusterer clusterer)

Construct PixelClustering object with a specific set of instances and clustering model

Parameters:

featuresInstances - set of instances to use for building the clusterer

clusterer - clustering Weka model to be used

Method Detail

buildClusterer

public void buildClusterer()

Build current clusterer based on the current instances

setFeaturesInstances

public void setFeaturesInstances(weka.core.Instances featuresInstances)

Set feature instances to be used

Parameters:

featuresInstances - instances to be used

getFeaturesInstances

public weka.core.Instances getFeaturesInstances()

Get features instances that are being used

Returns:

instances that are being used

getSelectedClusterer

public weka.clusterers.AbstractClusterer getSelectedClusterer()

Get selected clusterer

Returns:

current clusterer

setSelectedClusterer

public void setSelectedClusterer(weka.clusterers.AbstractClusterer selectedClusterer)

Set selected clusterer

Parameters:

selectedClusterer - clustering Weka model