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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Frameset//EN""http://www.w3.org/TR/REC-html40/frameset.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc on Wed Sep 04 10:31:50 CDT 2002 --><TITLE>: Class DistributionClusterer</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../stylesheet.css" TITLE="Style"></HEAD><BODY BGCOLOR="white"><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_top"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3"> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT 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HREF="DistributionClusterer.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: INNER | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><!-- =========== END OF NAVBAR =========== --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.clusterers</FONT><BR>Class DistributionClusterer</H2><PRE>java.lang.Object | +--<A HREF="../../weka/clusterers/Clusterer.html">weka.clusterers.Clusterer</A> | +--<B>weka.clusterers.DistributionClusterer</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.lang.Cloneable, java.io.Serializable</DD></DL><DL><DT><B>Direct Known Subclasses:</B> <DD><A HREF="../../weka/clusterers/DistributionMetaClusterer.html">DistributionMetaClusterer</A>, <A HREF="../../weka/clusterers/EM.html">EM</A></DD></DL><HR><DL><DT>public abstract class <B>DistributionClusterer</B><DT>extends <A HREF="../../weka/clusterers/Clusterer.html">Clusterer</A></DL><P>Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster (ie. a probability distribution).<P><DL><DT><B>See Also: </B><DD><A HREF="../../serialized-form.html#weka.clusterers.DistributionClusterer">Serialized Form</A></DL><HR><P><!-- ======== INNER CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../weka/clusterers/DistributionClusterer.html#DistributionClusterer()">DistributionClusterer</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Method Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DistributionClusterer.html#clusterInstance(weka.core.Instance)">clusterInstance</A></B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance)</CODE><BR> Assigns an instance to a Cluster.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>abstract double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DistributionClusterer.html#densityForInstance(weka.core.Instance)">densityForInstance</A></B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance)</CODE><BR> Computes the density for a given instance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>abstract double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DistributionClusterer.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance)</CODE><BR> Predicts the cluster memberships for a given instance.</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.clusterers.Clusterer"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Methods inherited from class weka.clusterers.<A HREF="../../weka/clusterers/Clusterer.html">Clusterer</A></B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../weka/clusterers/Clusterer.html#buildClusterer(weka.core.Instances)">buildClusterer</A>, <A HREF="../../weka/clusterers/Clusterer.html#forName(java.lang.String, java.lang.String[])">forName</A>, <A HREF="../../weka/clusterers/Clusterer.html#makeCopies(weka.clusterers.Clusterer, int)">makeCopies</A>, <A HREF="../../weka/clusterers/Clusterer.html#numberOfClusters()">numberOfClusters</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Methods inherited from class java.lang.Object</B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TD></TR></TABLE><A NAME="DistributionClusterer()"><!-- --></A><H3>DistributionClusterer</H3><PRE>public <B>DistributionClusterer</B>()</PRE><DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Method Detail</B></FONT></TD></TR></TABLE><A NAME="densityForInstance(weka.core.Instance)"><!-- --></A><H3>densityForInstance</H3><PRE>public abstract double <B>densityForInstance</B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance) throws java.lang.Exception</PRE><DL><DD>Computes the density for a given instance.<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 abstract double[] <B>distributionForInstance</B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance) throws java.lang.Exception</PRE><DL><DD>Predicts the cluster memberships for a given instance.<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="clusterInstance(weka.core.Instance)"><!-- --></A><H3>clusterInstance</H3><PRE>public int <B>clusterInstance</B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance) throws java.lang.Exception</PRE><DL><DD>Assigns an instance to a Cluster.<DD><DL><DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/clusterers/Clusterer.html#clusterInstance(weka.core.Instance)">clusterInstance</A></CODE> in class <CODE><A HREF="../../weka/clusterers/Clusterer.html">Clusterer</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified<DT><B>Returns:</B><DD>the predicted most likely cluster for the instance.<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an error occurred during the prediction</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_bottom"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" 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