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java.lang.Objectweka.clusterers.AbstractClusterer
weka.clusterers.HierarchicalClusterer
public class HierarchicalClusterer
Hierarchical clustering class. Implements a number of classic hierarchical clustering methods. Valid options are:
-N number of clusters
-L Link type (Single, Complete, Average, Mean, Centroid, Ward, Adjusted complete, Neighbor Joining) [SINGLE|COMPLETE|AVERAGE|MEAN|CENTROID|WARD|ADJCOMLPETE|NEIGHBOR_JOINING]
-A Distance function to use. (default: weka.core.EuclideanDistance)
-P Print hierarchy in Newick format, which can be used for display in other programs.
-D If set, classifier is run in debug mode and may output additional info to the console.
-B \If set, distance is interpreted as branch length, otherwise it is node height.
| Field Summary | |
|---|---|
static Tag[] |
TAGS_LINK_TYPE
|
| Fields inherited from interface weka.core.Drawable |
|---|
BayesNet, Newick, NOT_DRAWABLE, TREE |
| Constructor Summary | |
|---|---|
HierarchicalClusterer()
|
|
| Method Summary | |
|---|---|
void |
buildClusterer(Instances data)
Generates a clusterer. |
int |
clusterInstance(Instance instance)
Classifies a given instance. |
java.lang.String |
debugTipText()
Returns the tip text for this property |
java.lang.String |
distanceFunctionTipText()
|
java.lang.String |
distanceIsBranchLengthTipText()
|
double[] |
distributionForInstance(Instance instance)
Predicts the cluster memberships for a given instance. |
Capabilities |
getCapabilities()
Returns the Capabilities of this clusterer. |
boolean |
getDebug()
Get whether debugging is turned on. |
DistanceFunction |
getDistanceFunction()
|
boolean |
getDistanceIsBranchLength()
|
SelectedTag |
getLinkType()
|
int |
getNumClusters()
|
java.lang.String[] |
getOptions()
Gets the current settings of the clusterer. |
boolean |
getPrintNewick()
|
java.lang.String |
getRevision()
Returns the revision string. |
java.lang.String |
globalInfo()
This will return a string describing the clusterer. |
java.lang.String |
graph()
Returns a string that describes a graph representing the object. |
int |
graphType()
Returns the type of graph representing the object. |
java.lang.String |
linkTypeTipText()
|
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
static void |
main(java.lang.String[] argv)
|
int |
numberOfClusters()
Returns the number of clusters. |
java.lang.String |
numClustersTipText()
|
java.lang.String |
printNewickTipText()
|
void |
setDebug(boolean debug)
Set debugging mode. |
void |
setDistanceFunction(DistanceFunction distanceFunction)
|
void |
setDistanceIsBranchLength(boolean bDistanceIsHeight)
|
void |
setLinkType(SelectedTag newLinkType)
|
void |
setNumClusters(int nClusters)
|
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setPrintNewick(boolean bPrintNewick)
|
java.lang.String |
toString()
|
| Methods inherited from class weka.clusterers.AbstractClusterer |
|---|
forName, makeCopies, makeCopy |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final Tag[] TAGS_LINK_TYPE
| Constructor Detail |
|---|
public HierarchicalClusterer()
| Method Detail |
|---|
public void setNumClusters(int nClusters)
public int getNumClusters()
public DistanceFunction getDistanceFunction()
public void setDistanceFunction(DistanceFunction distanceFunction)
public boolean getPrintNewick()
public void setPrintNewick(boolean bPrintNewick)
public void setLinkType(SelectedTag newLinkType)
public SelectedTag getLinkType()
public void buildClusterer(Instances data)
throws java.lang.Exception
AbstractClusterer
buildClusterer in interface ClustererbuildClusterer in class AbstractClustererdata - set of instances serving as training data
java.lang.Exception - if the clusterer has not been
generated successfully
public int clusterInstance(Instance instance)
throws java.lang.Exception
AbstractClusterer
clusterInstance in interface ClustererclusterInstance in class AbstractClustererinstance - the instance to be assigned to a cluster
java.lang.Exception - if instance could not be clustered
successfully
public double[] distributionForInstance(Instance instance)
throws java.lang.Exception
AbstractClusterer
distributionForInstance in interface ClustererdistributionForInstance in class AbstractClustererinstance - the instance to be assigned a cluster.
java.lang.Exception - if distribution could not be
computed successfullypublic Capabilities getCapabilities()
AbstractClusterer
getCapabilities in interface ClusterergetCapabilities in interface CapabilitiesHandlergetCapabilities in class AbstractClustererCapabilities
public int numberOfClusters()
throws java.lang.Exception
AbstractClusterer
numberOfClusters in interface ClusterernumberOfClusters in class AbstractClustererjava.lang.Exception - if number of clusters could not be returned
successfullypublic java.util.Enumeration listOptions()
listOptions in interface OptionHandler
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
setOptions in interface OptionHandleroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlerpublic java.lang.String toString()
toString in class java.lang.Objectpublic void setDebug(boolean debug)
debug - true if debug output should be printedpublic boolean getDebug()
public boolean getDistanceIsBranchLength()
public void setDistanceIsBranchLength(boolean bDistanceIsHeight)
public java.lang.String distanceIsBranchLengthTipText()
public java.lang.String debugTipText()
public java.lang.String numClustersTipText()
public java.lang.String printNewickTipText()
public java.lang.String distanceFunctionTipText()
public java.lang.String linkTypeTipText()
public java.lang.String globalInfo()
public static void main(java.lang.String[] argv)
public java.lang.String graph()
throws java.lang.Exception
Drawable
graph in interface Drawablejava.lang.Exception - if the graph can't be computedpublic int graphType()
Drawable
graphType in interface Drawablepublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class AbstractClusterer
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