mulan.classifier.meta
Class ClusteringBased

java.lang.Object
  mulan.classifier.MultiLabelLearnerBase
      mulan.classifier.meta.MultiLabelMetaLearner
          mulan.classifier.meta.ClusteringBased

All Implemented Interfaces:

Serializable, MultiLabelLearner, TechnicalInformationHandler

public class ClusteringBased
extends MultiLabelMetaLearner

Class implementing clustering-based multi-label classification. For more information, see

Gulisong Nasierding, Grigorios Tsoumakas, Abbas Kouzani: Clustering Based Multi-Label Classification for Image Annotation and Retrieval. In: Proc. 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), 2009.

BibTeX:

 @inproceedings{GulisongNasierding2009,
    author = {Gulisong Nasierding, Grigorios Tsoumakas, Abbas Kouzani},
    booktitle = {Proc. 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009)},
    title = {Clustering Based Multi-Label Classification for Image Annotation and Retrieval},
    year = {2009},
    location = {Texas, USA}
 }
 

Version:

2012.02.27

Author:

Gulisong Nasierding, Grigorios Tsoumakas

See Also:

Serialized Form

Field Summary

Fields inherited from class mulan.classifier.meta.MultiLabelMetaLearner

baseLearner

Fields inherited from class mulan.classifier.MultiLabelLearnerBase

featureIndices, labelIndices, numLabels

Constructor Summary

ClusteringBased()
Default constructor.

ClusteringBased(Clusterer aClusterer, MultiLabelLearner aMultiLabelClassifier)
Constructor

Method Summary

void	buildInternal(MultiLabelInstances trainData) Learner specific implementation of building the model from MultiLabelInstances training data set.
Clusterer	getClusterer() Returns the clustering approach
TechnicalInformation	getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
String	globalInfo() Returns a string describing the multi-label learner.
protected MultiLabelOutput	makePredictionInternal(Instance instance) Learner specific implementation for predicting on specified data based on trained model.

Methods inherited from class mulan.classifier.meta.MultiLabelMetaLearner

getBaseLearner

Methods inherited from class mulan.classifier.MultiLabelLearnerBase

build, debug, getDebug, isModelInitialized, isUpdatable, makeCopy, makePrediction, setDebug

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusteringBased

public ClusteringBased()

Default constructor.

ClusteringBased

public ClusteringBased(Clusterer aClusterer,
                       MultiLabelLearner aMultiLabelClassifier)

Constructor

Parameters:

aClusterer - the clustering approach

aMultiLabelClassifier - the multi-label learner

Method Detail

getClusterer

public Clusterer getClusterer()

Returns the clustering approach

Returns:

the clustering approach

buildInternal

public void buildInternal(MultiLabelInstances trainData)
                   throws Exception

Description copied from class: MultiLabelLearnerBase

Learner specific implementation of building the model from MultiLabelInstances training data set. This method is called from MultiLabelLearnerBase.build(MultiLabelInstances) method, where behavior common across all learners is applied.

Specified by:

buildInternal in class MultiLabelLearnerBase

Parameters:

trainData - the training data set

Throws:

Exception - if learner model was not created successfully

makePredictionInternal

protected MultiLabelOutput makePredictionInternal(Instance instance)
                                           throws Exception,
                                                  InvalidDataException

Description copied from class: MultiLabelLearnerBase

Learner specific implementation for predicting on specified data based on trained model. This method is called from MultiLabelLearnerBase.makePrediction(weka.core.Instance) which guards for model initialization and apply common handling/behavior.

Specified by:

makePredictionInternal in class MultiLabelLearnerBase

Parameters:

instance - the data instance to predict on

Returns:

the output of the learner for the given instance

Throws:

Exception - if an error occurs while making the prediction.

InvalidDataException - if specified instance data is invalid and can not be processed by the learner

getTechnicalInformation

public TechnicalInformation getTechnicalInformation()

Description copied from class: MultiLabelLearnerBase

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

Specified by:

getTechnicalInformation in interface TechnicalInformationHandler

Specified by:

getTechnicalInformation in class MultiLabelLearnerBase

Returns:

the technical information about this class

globalInfo

public String globalInfo()

Description copied from class: MultiLabelLearnerBase

Returns a string describing the multi-label learner.

Specified by:

globalInfo in class MultiLabelLearnerBase

Returns:

a description suitable for displaying in a future gui