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<A NAME="Clusterer()"><!-- --></A><H3>
Clusterer</H3>
<PRE>
public <B>Clusterer</B>()</PRE>
<DL>
</DL>

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<B>Method Detail</B></FONT></TD>
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<A NAME="buildClusterer(weka.core.Instances)"><!-- --></A><H3>
buildClusterer</H3>
<PRE>
public abstract void <B>buildClusterer</B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data)
                             throws java.lang.Exception</PRE>
<DL>
<DD>Generates a clusterer. Has to initialize all fields of the clusterer
 that are not being set via options.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - set of instances serving as training data
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the clusterer has not been 
 generated successfully</DL>
</DD>
</DL>
<HR>

<A NAME="clusterInstance(weka.core.Instance)"><!-- --></A><H3>
clusterInstance</H3>
<PRE>
public int <B>clusterInstance</B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                    throws java.lang.Exception</PRE>
<DL>
<DD>Classifies a given instance. Either this or distributionForInstance()
 needs to be implemented by subclasses.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be assigned to a cluster
<DT><B>Returns:</B><DD>the number of the assigned cluster as an integer
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if instance could not be clustered
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>
distributionForInstance</H3>
<PRE>
public double[] <B>distributionForInstance</B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Predicts the cluster memberships for a given instance.  Either
 this or clusterInstance() needs to be implemented by subclasses.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be assigned a cluster.
<DT><B>Returns:</B><DD>an array containing the estimated membership 
 probabilities of the test instance in each cluster (this 
 should sum to at most 1)
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if distribution could not be 
 computed successfully</DL>
</DD>
</DL>
<HR>

<A NAME="numberOfClusters()"><!-- --></A><H3>
numberOfClusters</H3>
<PRE>
public abstract int <B>numberOfClusters</B>()
                              throws java.lang.Exception</PRE>
<DL>
<DD>Returns the number of clusters.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the number of clusters generated for a training dataset.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if number of clusters could not be returned
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="forName(java.lang.String, java.lang.String[])"><!-- --></A><H3>
forName</H3>
<PRE>
public static <A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A> <B>forName</B>(java.lang.String&nbsp;clustererName,
                                java.lang.String[]&nbsp;options)
                         throws java.lang.Exception</PRE>
<DL>
<DD>Creates a new instance of a clusterer given it's class name and
 (optional) arguments to pass to it's setOptions method. If the
 clusterer implements OptionHandler and the options parameter is
 non-null, the clusterer will have it's options set.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>options</CODE> - an array of options suitable for passing to setOptions. May
 be null.
<DT><B>Returns:</B><DD>the newly created search object, ready for use.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the clusterer class name is invalid, or the 
 options supplied are not acceptable to the clusterer.</DL>
</DD>
</DL>
<HR>

<A NAME="makeCopies(weka.clusterers.Clusterer, int)"><!-- --></A><H3>
makeCopies</H3>
<PRE>
public static <A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A>[] <B>makeCopies</B>(<A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A>&nbsp;model,
                                     int&nbsp;num)
                              throws java.lang.Exception</PRE>
<DL>
<DD>Creates copies of the current clusterer. Note that this method
 now uses Serialization to perform a deep copy, so the Clusterer
 object must be fully Serializable. Any currently built model will
 now be copied as well.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>model</CODE> - an example clusterer to copy<DD><CODE>num</CODE> - the number of clusterer copies to create.
<DT><B>Returns:</B><DD>an array of clusterers.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL>
</DD>
</DL>
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