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• marf.Classification: Javadoc index of package marf.Classification.
Package Samples:
• marf.Classification.Distance
• marf.Classification.Markov
• marf.Classification.NeuralNetwork
• marf.Classification.RandomClassification
• marf.Classification.Stochastic
• marf.Classification.ChebyshevDistance
• marf.Classification.EuclideanDistance
Classes:
• RandomClassification: Random Classification Module is for testing purposes. This represents the bottomline of the classification results. All the other modules should be better than this 99% of the time. If they are not, debug them. $Id: RandomClassification.java,v 1.15 2005/08/14 01:15:55 mokhov Exp $
• Classification: Abstract Classification Module. A generic implementation of the IClassification interface. The derivatives must inherit from this module, and if they cannot, they should implement IClassification themselves. $Id: Classification.java,v 1.39 2005/08/05 22:19:47 mokhov Exp $
• MahalanobisDistance: Mahalanobis Distance Classification Module. NOTE : Implemented as equivalent to Euclidean Distance in 0.2.0, i.e. the Covariance matrix is always an Indentity one. $Id: MahalanobisDistance.java,v 1.21 2005/08/12 20:02:56 susan_fan Exp $
• MaxProbabilityClassifier: Maximum Probability Classification Module. Originally came with the LangIdentApp NLP application of Serguei Mokhov. $Id: MaxProbabilityClassifier.java,v 1.19 2005/08/13 23:09:37 susan_fan Exp $
• ClassificationException: Class ClassificationException indicates an error during classification process. $Id: ClassificationException.java,v 1.11 2005/08/11 00:44:50 mokhov Exp $
• ChebyshevDistance: Chebyshev Distance Classifier. Also known as Manhattan or City Block distance. $Id: ChebyshevDistance.java,v 1.17 2005/08/11 00:44:50 mokhov Exp $
• Layer: Represents a Neural Network Layer. Being itself a thread, encapsulates a group of Neuron thread comprising a neron layer of the network. TODO: implement.
• ChebyshevDistance: Class ChebyshevDistance $Header: /cvsroot/marf/marf/src/marf/Classification/ChebyshevDistance/ChebyshevDistance.java,v 1.2 2002/12/08 15:57:33 mokhov Exp $
• EuclideanDistance: Class EuclideanDistance $Header: /cvsroot/marf/marf/src/marf/Classification/EuclideanDistance/EuclideanDistance.java,v 1.7 2002/12/08 15:57:33 mokhov Exp $
• Stochastic: Generic Stochastic Classification Module. TODO: Not Implemented. $Id: Stochastic.java,v 1.21 2005/08/13 23:09:37 susan_fan Exp $
• Markov: Hidden Markov Models-based Classification Module. Not Implemented. $Id: Markov.java,v 1.23 2005/08/14 01:15:55 mokhov Exp $
• Neuron: Class Neuron -- a basic element of a neural network. $Id: Neuron.java,v 1.13 2005/06/16 19:58:42 mokhov Exp $
• NeuralNetwork: Artificial Neural Network-based Classifier. $Id: NeuralNetwork.java,v 1.45 2005/08/14 01:15:55 mokhov Exp $
• EuclideanDistance: Class EuclideanDistance. $Id: EuclideanDistance.java,v 1.20 2005/08/11 00:44:50 mokhov Exp $
• MinkowskiDistance: Class MinkowskiDistance. $Id: MinkowskiDistance.java,v 1.11 2005/08/14 01:15:54 mokhov Exp $
• IClassification: Classification Interface. $Id: IClassification.java,v 1.4 2005/08/05 22:19:53 mokhov Exp $
• Distance: Abstract Distance Classifier. $Id: Distance.java,v 1.28 2005/06/16 19:58:42 mokhov Exp $
• DiffDistance: Diff-Distance Classifier. $Id: DiffDistance.java,v 1.10 2005/08/11 00:44:50 mokhov Exp $
• ZipfLaw: Module exercising Zipf's Law. $Id: ZipfLaw.java,v 1.15 2005/08/13 23:09:37 susan_fan Exp $
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