ClassifierAlgorithm Class Reference

#include <Classifier.h>

Inheritance diagram for ClassifierAlgorithm:

List of all members.

Public Member Functions
virtual	~ClassifierAlgorithm ()
virtual void	init (FeatureContainer *fc)=0
virtual membershiplist	getClusterMembership (const featurevector *sample)=0
virtual unsigned long	nextSample ()=0
virtual unsigned long	nextSample (const featurevector *sample)=0
virtual string	serialize () const =0
virtual void	unserialize (string data)=0
virtual string	toString () const =0

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Detailed Description

ClassifierAlgorithm Interface

This class defines the abstract interface to classification/clustering algorithms. Any algorithm which is to be used for the classification step in this framework has to implement these methods and be derived from this class.

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Constructor & Destructor Documentation

virtual ClassifierAlgorithm::~ClassifierAlgorithm (   )  [inline, virtual]

Destructor

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Member Function Documentation

virtual membershiplist ClassifierAlgorithm::getClusterMembership (  const featurevector *  sample  )  [pure virtual]

Get membership vector This method returns the data for the next steps, which is a list of context classes found by the algorithm with associated membership values. These values specify the membership of the current feature values to each of the context classes in the interval [0; 1]. They can thus by seen as the probabilities that the context classes are currently active. Parameters: sample  The sample vector for which the membershiplist should be calculated Implemented in Classifier, and GNG.

virtual void ClassifierAlgorithm::init (  FeatureContainer *  fc  )  [pure virtual]

Initializer Initializes internal data structures of the classification/clustering algorithm. This usually involves constructing initial prototypes for cluster centers; thus, randomized feature vectors are necessary for the initialization. The getFeatureVector method of the passed FeatureContainer object may be called multiple times by the initialization. The given FeatureContainer is also used when nextSample() is called. Parameters: fc  The FeatureContainer from which the randomized feature vectors should be retrieved. See also: FeatureContainer::getFeatureVector nextSample() Implemented in Classifier, and GNG.

virtual unsigned long ClassifierAlgorithm::nextSample (  const featurevector *  sample  )  [pure virtual]

Fetch next sample vector Gets the next sample vector passed as parameter. Parameters: sample  samplevector Implemented in Classifier, and GNG.

virtual unsigned long ClassifierAlgorithm::nextSample (   )  [pure virtual]

Fetch next sample vector Gets the next sample vector from the configured feature source. This method calls nextSample and getSampleVector on the FeatureContainer given to the init method. See also: FeatureConteiner::nextSample FeatureContainer::getSampleVector Implemented in Classifier, and GNG.

virtual string ClassifierAlgorithm::serialize (   )  const [pure virtual]

Serialize a samples data to a string Returns: String representation of the samples data. Implemented in Classifier, and GNG.

virtual string ClassifierAlgorithm::toString (   )  const [pure virtual]

This is only for testing. Implemented in Classifier, and GNG.

virtual void ClassifierAlgorithm::unserialize (  string  data  )  [pure virtual]

Unserialize a samples data from a string Parameters: data  String representation of the samples data. Implemented in Classifier, and GNG.

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The documentation for this class was generated from the following file:

• amw/src/cpp/cross/contextprediction/framework/Classifiers/Classifier.h

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