densitybasedclusterer.html

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

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<A NAME="clusterPriors()"><!-- --></A><H3>
clusterPriors</H3>
<PRE>
public abstract double[] <B>clusterPriors</B>()
                                throws java.lang.Exception</PRE>
<DL>
<DD>Returns the prior probability of each cluster.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>the prior probability for each cluster
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if priors could not be 
 returned successfully</DL>
</DD>
</DL>
<HR>

<A NAME="logDensityPerClusterForInstance(weka.core.Instance)"><!-- --></A><H3>
logDensityPerClusterForInstance</H3>
<PRE>
public abstract double[] <B>logDensityPerClusterForInstance</B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                                                  throws java.lang.Exception</PRE>
<DL>
<DD>Computes the log of the conditional density (per cluster) for a given instance.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to compute the density for
<DT><B>Returns:</B><DD>the density.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the density could not be computed
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="logDensityForInstance(weka.core.Instance)"><!-- --></A><H3>
logDensityForInstance</H3>
<PRE>
public double <B>logDensityForInstance</B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                             throws java.lang.Exception</PRE>
<DL>
<DD>Computes the density for a given instance.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to compute the density for
<DT><B>Returns:</B><DD>the density.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the density could not be computed 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>Returns the cluster probability distribution for an instance.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/clusterers/Clusterer.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be clustered
<DT><B>Returns:</B><DD>the probability distribution
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if distribution could not be 
 computed successfully</DL>
</DD>
</DL>
<HR>

<A NAME="logJointDensitiesForInstance(weka.core.Instance)"><!-- --></A><H3>
logJointDensitiesForInstance</H3>
<PRE>
public double[] <B>logJointDensitiesForInstance</B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;inst)
                                      throws java.lang.Exception</PRE>
<DL>
<DD>Returns the logs of the joint densities for a given instance.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>inst</CODE> - the instance
<DT><B>Returns:</B><DD>the array of values
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if values could not be computed</DL>
</DD>
</DL>
<HR>

<A NAME="makeCopies(weka.clusterers.DensityBasedClusterer, int)"><!-- --></A><H3>
makeCopies</H3>
<PRE>
public static <A HREF="../../weka/clusterers/DensityBasedClusterer.html" title="class in weka.clusterers">DensityBasedClusterer</A>[] <B>makeCopies</B>(<A HREF="../../weka/clusterers/DensityBasedClusterer.html" title="class in weka.clusterers">DensityBasedClusterer</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>
<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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