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<CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/EM.html#setDebug(boolean)">setDebug</A></B>(boolean v)</CODE><BR> Set debug mode - verbose output</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/EM.html#setMaxIterations(int)">setMaxIterations</A></B>(int i)</CODE><BR> Set the maximum number of iterations to perform</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/EM.html#setMinStdDev(double)">setMinStdDev</A></B>(double m)</CODE><BR> Set the minimum value for standard deviation when calculating normal density.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/EM.html#setMinStdDevPerAtt(double[])">setMinStdDevPerAtt</A></B>(double[] m)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/EM.html#setNumClusters(int)">setNumClusters</A></B>(int n)</CODE><BR> Set the number of clusters (-1 to select by CV).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/EM.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[] options)</CODE><BR> Parses a given list of options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/EM.html#toString()">toString</A></B>()</CODE><BR> Outputs the generated clusters into a string.</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.clusterers.RandomizableDensityBasedClusterer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.clusterers.<A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html" title="class in weka.clusterers">RandomizableDensityBasedClusterer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html#getSeed()">getSeed</A>, <A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html#seedTipText()">seedTipText</A>, <A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html#setSeed(int)">setSeed</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.clusterers.DensityBasedClusterer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.clusterers.<A HREF="../../weka/clusterers/DensityBasedClusterer.html" title="class in weka.clusterers">DensityBasedClusterer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../weka/clusterers/DensityBasedClusterer.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A>, <A HREF="../../weka/clusterers/DensityBasedClusterer.html#logDensityForInstance(weka.core.Instance)">logDensityForInstance</A>, <A HREF="../../weka/clusterers/DensityBasedClusterer.html#logJointDensitiesForInstance(weka.core.Instance)">logJointDensitiesForInstance</A>, <A HREF="../../weka/clusterers/DensityBasedClusterer.html#makeCopies(weka.clusterers.DensityBasedClusterer, int)">makeCopies</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.clusterers.Clusterer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.clusterers.<A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../weka/clusterers/Clusterer.html#clusterInstance(weka.core.Instance)">clusterInstance</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#makeCopy(weka.clusterers.Clusterer)">makeCopy</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="EM()"><!-- --></A><H3>EM</H3><PRE>public <B>EM</B>()</PRE><DL><DD>Constructor.<P></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Method Detail</B></FONT></TH></TR></TABLE><A NAME="globalInfo()"><!-- --></A><H3>globalInfo</H3><PRE>public java.lang.String <B>globalInfo</B>()</PRE><DL><DD>Returns a string describing this clusterer<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a description of the evaluator suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="listOptions()"><!-- --></A><H3>listOptions</H3><PRE>public java.util.Enumeration <B>listOptions</B>()</PRE><DL><DD>Returns an enumeration describing the available options.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/core/OptionHandler.html#listOptions()">listOptions</A></CODE> in interface <CODE><A HREF="../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html" title="class in weka.clusterers">RandomizableDensityBasedClusterer</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an enumeration of all the available options.</DL></DD></DL><HR><A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>setOptions</H3><PRE>public void <B>setOptions</B>(java.lang.String[] options) throws java.lang.Exception</PRE><DL><DD>Parses a given list of options. <p/> <!-- options-start --> Valid options are: <p/> <pre> -N <num> number of clusters. If omitted or -1 specified, then cross validation is used to select the number of clusters.</pre> <pre> -I <num> max iterations. (default 100)</pre> <pre> -V verbose.</pre> <pre> -M <num> minimum allowable standard deviation for normal density computation (default 1e-6)</pre> <pre> -S <num> Random number seed. (default 1)</pre> <!-- options-end --><P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/core/OptionHandler.html#setOptions(java.lang.String[])">setOptions</A></CODE> in interface <CODE><A HREF="../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../weka/clusterers/RandomizableDensityBasedClusterer.html" title="class in weka.clusterers">RandomizableDensityBasedClusterer</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>options</CODE> - the list of options as an array of strings<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an option is not supported</DL></DD></DL><HR><A NAME="minStdDevTipText()"><!-- --></A><H3>minStdDevTipText</H3><PRE>public java.lang.String <B>minStdDevTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setMinStdDev(double)"><!-- --></A><H3>setMinStdDev</H3><PRE>public void <B>setMinStdDev</B>(double m)</PRE><DL><DD>Set the minimum value for standard deviation when calculating normal density. Reducing this value can help prevent arithmetic overflow resulting from multiplying large densities (arising from small standard deviations) when there are many singleton or near singleton values.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>m</CODE> - minimum value for standard deviation</DL></DD></DL><HR><A NAME="setMinStdDevPerAtt(double[])"><!-- --></A><H3>setMinStdDevPerAtt</H3><PRE>public void <B>setMinStdDevPerAtt</B>(double[] m)</PRE><DL><DD><DL></DL></DD><DD><DL></DL></DD></DL><HR><A NAME="getMinStdDev()"><!-- --></A><H3>getMinStdDev</H3><PRE>public double <B>getMinStdDev</B>()</PRE><DL><DD>Get the minimum allowable standard deviation.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the minumum allowable standard deviation</DL></DD></DL><HR><A NAME="numClustersTipText()"><!-- --></A><H3>numClustersTipText</H3><PRE>public java.lang.String <B>numClustersTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="setNumClusters(int)"><!-- --></A><H3>setNumClusters</H3><PRE>public void <B>setNumClusters</B>(int n) throws java.lang.Exception</PRE><DL><DD>Set the number of clusters (-1 to select by CV).<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/clusterers/NumberOfClustersRequestable.html#setNumClusters(int)">setNumClusters</A></CODE> in interface <CODE><A HREF="../../weka/clusterers/NumberOfClustersRequestable.html" title="interface in weka.clusterers">NumberOfClustersRequestable</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>n</CODE> - the number of clusters<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if n is 0</DL></DD></DL><HR><A NAME="getNumClusters()"><!-- --></A><H3>getNumClusters</H3><PRE>public int <B>getNumClusters</B>()</PRE><DL><DD>Get the number of clusters<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of clusters.</DL></DD></DL><HR><A NAME="maxIterationsTipText()"><!-- --></A><H3>maxIterationsTipText</H3><PRE>⌨️ 快捷键说明
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