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<DL><DD>This function calculates the Kullback Leibler distance between two normal distributions. This distance is always positive. Kullback Leibler distance = integral{f(X)ln(f(X)/g(X))} Note that X is a vector. Since we assume dimensions are independent f(X)(g(X) the same) is actually the product of normal density functions of each dimensions. Also note that it should be log2 instead of (ln) in the formula, but we use (ln) simply for computational convenience. The result is as follows, suppose there are P dimensions, and f(X) is the first distribution and g(X) is the second: Kullback = sum[1..P](ln(SIGMA2/SIGMA1)) + sum[1..P](SIGMA1^2 / (2*(SIGMA2^2))) + sum[1..P]((MU1-MU2)^2 / (2*(SIGMA2^2))) - P/2<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>mu1</CODE> - mu of the first normal distribution<DD><CODE>mu2</CODE> - mu of the second normal distribution<DD><CODE>var1</CODE> - variance(SIGMA^2) of the first normal distribution<DD><CODE>var2</CODE> - variance(SIGMA^2) of the second normal distribution<DT><B>Returns:</B><DD>the Kullback distance of two distributions</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/classifiers/Classifier.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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> -K <number of neighbours> Set number of nearest neighbour for prediction (default 1)</pre> <pre> -S <number of neighbours> Set number of nearest neighbour for cleansing the training data (default 1)</pre> <pre> -E <number of neighbours> Set number of nearest neighbour for cleansing the testing data (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/classifiers/Classifier.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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="getOptions()"><!-- --></A><H3>getOptions</H3><PRE>public java.lang.String[] <B>getOptions</B>()</PRE><DL><DD>Gets the current settings of the Classifier.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#getOptions()">getOptions</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/classifiers/Classifier.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL></DD></DL><HR><A NAME="numNeighboursTipText()"><!-- --></A><H3>numNeighboursTipText</H3><PRE>public java.lang.String <B>numNeighboursTipText</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="setNumNeighbours(int)"><!-- --></A><H3>setNumNeighbours</H3><PRE>public void <B>setNumNeighbours</B>(int numNeighbour)</PRE><DL><DD>Sets the number of nearest neighbours to estimate the class prediction of tests bags<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>numNeighbour</CODE> - the number of citers</DL></DD></DL><HR><A NAME="getNumNeighbours()"><!-- --></A><H3>getNumNeighbours</H3><PRE>public int <B>getNumNeighbours</B>()</PRE><DL><DD>Returns the number of nearest neighbours to estimate the class prediction of tests bags<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of neighbours</DL></DD></DL><HR><A NAME="numTrainingNoisesTipText()"><!-- --></A><H3>numTrainingNoisesTipText</H3><PRE>public java.lang.String <B>numTrainingNoisesTipText</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="setNumTrainingNoises(int)"><!-- --></A><H3>setNumTrainingNoises</H3><PRE>public void <B>setNumTrainingNoises</B>(int numTraining)</PRE><DL><DD>Sets the number of nearest neighbour instances in the selection of noises in the training data<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>numTraining</CODE> - the number of noises in training data</DL></DD></DL><HR><A NAME="getNumTrainingNoises()"><!-- --></A><H3>getNumTrainingNoises</H3><PRE>public int <B>getNumTrainingNoises</B>()</PRE><DL><DD>Returns the number of nearest neighbour instances in the selection of noises in the training data<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of noises in training data</DL></DD></DL><HR><A NAME="numTestingNoisesTipText()"><!-- --></A><H3>numTestingNoisesTipText</H3><PRE>public java.lang.String <B>numTestingNoisesTipText</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="getNumTestingNoises()"><!-- --></A><H3>getNumTestingNoises</H3><PRE>public int <B>getNumTestingNoises</B>()</PRE><DL><DD>Returns The number of nearest neighbour instances in the selection of noises in the test data<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number of noises in test data</DL></DD></DL><HR><A NAME="setNumTestingNoises(int)"><!-- --></A><H3>setNumTestingNoises</H3><PRE>public void <B>setNumTestingNoises</B>(int numTesting)</PRE><DL><DD>Sets The number of nearest neighbour exemplars in the selection of noises in the test data<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>numTesting</CODE> - the number of noises in test data</DL></DD></DL><HR><A NAME="main(java.lang.String[])"><!-- --></A><H3>main</H3><PRE>public static void <B>main</B>(java.lang.String[] args)</PRE><DL><DD>Main method for testing.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>args</CODE> - the options for the classifier</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <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 CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/" target="_blank"><FONT CLASS="NavBarFont1"><B>Weka's home</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../weka/classifiers/mi/MILR.html" title="class in weka.classifiers.mi"><B>PREV CLASS</B></A> <A HREF="../../../weka/classifiers/mi/MIOptimalBall.html" title="class in weka.classifiers.mi"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../index.html?weka/classifiers/mi/MINND.html" target="_top"><B>FRAMES</B></A> <A HREF="MINND.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | 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><A NAME="skip-navbar_bottom"></A><!-- ======== END OF BOTTOM NAVBAR ======= --><HR></BODY></HTML>
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