List of usage examples for weka.core CapabilitiesHandler interface-usage
From source file HierarchicalClusterer.java
/**
<!-- globalinfo-start -->
* Hierarchical clustering class.
* Implements a number of classic hierarchical clustering methods.
<!-- globalinfo-end -->
*
From source file adams.data.instancesanalysis.pls.AbstractPLS.java
/** * Ancestor for PLS implementations. * * @author FracPete (fracpete at waikato dot ac dot nz) */ public abstract class AbstractPLS extends AbstractOptionHandler
From source file classes.AbdoAgglomerativeClusterer.java
/** * * @author Eng.Abdo */ public class AbdoAgglomerativeClusterer extends AbstractClusterer implements OptionHandler, CapabilitiesHandler, Drawable {
From source file de.uni_potsdam.hpi.bpt.promnicat.analysisModules.clustering.HierarchicalProcessClusterer.java
/**
* Extends WEKAs {@link HierarchicalClusterer} by creating a clustertree
* directly containing the clustered elements with the feature vector and
* process models. Also, this clusterer can cluster both numeric and string
* values at the same time and uses weights for clustering.
*
From source file j48.ClassifierTree.java
/**
* Class for handling a tree structure used for
* classification.
*
* @author Eibe Frank (eibe@cs.waikato.ac.nz)
* @version $Revision: 5531 $
From source file myclassifier.myC45Pack.MyClassifierTree.java
/** * * @author Fahmi */ public class MyClassifierTree implements CapabilitiesHandler { /** for serialization */
From source file org.fabrelab.textkit.tools.cluster.HierarchicalClustererWithThreshold.java
/**
<!-- globalinfo-start -->
* Hierarchical clustering class.
* Implements a number of classic hierarchical clustering methods.
<!-- globalinfo-end -->
*
From source file Part2.HierarchicalClusterer.java
/**
<!-- globalinfo-start -->
* Hierarchical clustering class.
* Implements a number of classic hierarchical clustering methods.
<!-- globalinfo-end -->
*
From source file Part2.HierarchicalClustererEx.java
/**
<!-- globalinfo-start -->
* Hierarchical clustering class.
* Implements a number of classic hierarchical clustering methods.
<!-- globalinfo-end -->
*
From source file tubes2ai.AIJKFFNN.java
/** * * @author i */ public class AIJKFFNN implements Classifier, OptionHandler, CapabilitiesHandler, Serializable, Randomizable { private Vector<Neuron> inputLayer;