public class ClassificationViaClustering extends Classifier
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of clusterer. (default: weka.clusterers.SimpleKMeans)
Options specific to clusterer weka.clusterers.SimpleKMeans:
-N <num> number of clusters. (default 2).
-V Display std. deviations for centroids.
-M Replace missing values with mean/mode.
-S <num> Random number seed. (default 10)
Constructor and Description |
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ClassificationViaClustering()
default constructor
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Modifier and Type | Method and Description |
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void |
buildClassifier(Instances data)
builds the classifier
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double |
classifyInstance(Instance instance)
Classifies the given test instance.
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java.lang.String |
clustererTipText()
Returns the tip text for this property
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Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
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Clusterer |
getClusterer()
Get the clusterer used as the base learner.
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java.lang.String[] |
getOptions()
returns the options of the current setup
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java.lang.String |
getRevision()
Returns the revision string.
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java.lang.String |
globalInfo()
Returns a string describing classifier
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java.util.Enumeration |
listOptions()
Gets an enumeration describing the available options.
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static void |
main(java.lang.String[] args)
Runs the classifier with the given options
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void |
setClusterer(Clusterer value)
Set the base clusterer.
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void |
setOptions(java.lang.String[] options)
Parses the options for this object.
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java.lang.String |
toString()
Returns a string representation of the classifier.
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debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, setDebug
public ClassificationViaClustering()
public java.lang.String globalInfo()
public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class Classifier
public java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class Classifier
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of clusterer. (default: weka.clusterers.SimpleKMeans)
Options specific to clusterer weka.clusterers.SimpleKMeans:
-N <num> number of clusters. (default 2).
-V Display std. deviations for centroids.
-M Replace missing values with mean/mode.
-S <num> Random number seed. (default 10)
setOptions
in interface OptionHandler
setOptions
in class Classifier
options
- the options to usejava.lang.Exception
- if setting of options failspublic java.lang.String clustererTipText()
public void setClusterer(Clusterer value)
value
- the clusterer to use.public Clusterer getClusterer()
public double classifyInstance(Instance instance) throws java.lang.Exception
classifyInstance
in class Classifier
instance
- the instance to be classifiedjava.lang.Exception
- if an error occurred during the predictionpublic Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Classifier
Capabilities
public void buildClassifier(Instances data) throws java.lang.Exception
buildClassifier
in class Classifier
data
- the training instancesjava.lang.Exception
- if something goes wrongpublic java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Classifier
public static void main(java.lang.String[] args)
args
- the commandline options