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<A NAME="NNMMethod"><!-- --></A><H3>
NNMMethod</H3>
<PRE>
public static final int <B>NNMMethod</B></PRE>
<DL>
<DD>The nonnegative-measure-based method
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../../constant-values.html#weka.classifiers.functions.pace.MixtureDistribution.NNMMethod">Constant Field Values</A></DL>
</DL>
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<A NAME="PMMethod"><!-- --></A><H3>
PMMethod</H3>
<PRE>
public static final int <B>PMMethod</B></PRE>
<DL>
<DD>The probability-measure-based method
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../../constant-values.html#weka.classifiers.functions.pace.MixtureDistribution.PMMethod">Constant Field Values</A></DL>
</DL>

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

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<A NAME="getMixingDistribution()"><!-- --></A><H3>
getMixingDistribution</H3>
<PRE>
public <A HREF="../../../../weka/classifiers/functions/pace/DiscreteFunction.html" title="class in weka.classifiers.functions.pace">DiscreteFunction</A> <B>getMixingDistribution</B>()</PRE>
<DL>
<DD>Gets the mixing distribution
<P>
<DD><DL>
</DL>
</DD>
</DL>
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<A NAME="setMixingDistribution(weka.classifiers.functions.pace.DiscreteFunction)"><!-- --></A><H3>
setMixingDistribution</H3>
<PRE>
public void <B>setMixingDistribution</B>(<A HREF="../../../../weka/classifiers/functions/pace/DiscreteFunction.html" title="class in weka.classifiers.functions.pace">DiscreteFunction</A>&nbsp;d)</PRE>
<DL>
<DD>Sets the mixing distribution
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>d</CODE> - the mixing distribution</DL>
</DD>
</DL>
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<A NAME="fit(weka.classifiers.functions.pace.DoubleVector)"><!-- --></A><H3>
fit</H3>
<PRE>
public void <B>fit</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;data)</PRE>
<DL>
<DD>Fits the mixture (or mixing) distribution to the data. The default
  method is the nonnegative-measure-based method.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data, supposedly generated from the mixture model</DL>
</DD>
</DL>
<HR>

<A NAME="fit(weka.classifiers.functions.pace.DoubleVector, int)"><!-- --></A><H3>
fit</H3>
<PRE>
public void <B>fit</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;data,
                int&nbsp;method)</PRE>
<DL>
<DD>Fits the mixture (or mixing) distribution to the data.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data supposedly generated from the mixture<DD><CODE>method</CODE> - the method to be used. Refer to the static final
  variables of this class.</DL>
</DD>
</DL>
<HR>

<A NAME="fitForSingleCluster(weka.classifiers.functions.pace.DoubleVector, int)"><!-- --></A><H3>
fitForSingleCluster</H3>
<PRE>
public <A HREF="../../../../weka/classifiers/functions/pace/DiscreteFunction.html" title="class in weka.classifiers.functions.pace">DiscreteFunction</A> <B>fitForSingleCluster</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;data,
                                            int&nbsp;method)</PRE>
<DL>
<DD>Fits the mixture (or mixing) distribution to the data. The data is
  not pre-clustered for computational efficiency.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data supposedly generated from the mixture<DD><CODE>method</CODE> - the method to be used. Refer to the static final
  variables of this class.</DL>
</DD>
</DL>
<HR>

<A NAME="separable(weka.classifiers.functions.pace.DoubleVector, int, int, double)"><!-- --></A><H3>
separable</H3>
<PRE>
public abstract boolean <B>separable</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;data,
                                  int&nbsp;i0,
                                  int&nbsp;i1,
                                  double&nbsp;x)</PRE>
<DL>
<DD>Return true if a value can be considered for mixture estimatino
  separately from the data indexed between i0 and i1
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data supposedly generated from the mixture<DD><CODE>i0</CODE> - the index of the first element in the group<DD><CODE>i1</CODE> - the index of the last element in the group<DD><CODE>x</CODE> - the value</DL>
</DD>
</DL>
<HR>

<A NAME="supportPoints(weka.classifiers.functions.pace.DoubleVector, int)"><!-- --></A><H3>
supportPoints</H3>
<PRE>
public abstract <A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A> <B>supportPoints</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;data,
                                           int&nbsp;ne)</PRE>
<DL>
<DD>Contructs the set of support points for mixture estimation.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data supposedly generated from the mixture<DD><CODE>ne</CODE> - the number of extra data that are suppposedly discarded
  earlier and not passed into here</DL>
</DD>
</DL>
<HR>

<A NAME="fittingIntervals(weka.classifiers.functions.pace.DoubleVector)"><!-- --></A><H3>
fittingIntervals</H3>
<PRE>
public abstract <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> <B>fittingIntervals</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;data)</PRE>
<DL>
<DD>Contructs the set of fitting intervals for mixture estimation.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data supposedly generated from the mixture</DL>
</DD>
</DL>
<HR>

<A NAME="probabilityMatrix(weka.classifiers.functions.pace.DoubleVector, weka.classifiers.functions.pace.PaceMatrix)"><!-- --></A><H3>
probabilityMatrix</H3>
<PRE>
public abstract <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> <B>probabilityMatrix</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;s,
                                             <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A>&nbsp;intervals)</PRE>
<DL>
<DD>Contructs the probability matrix for mixture estimation, given a set
  of support points and a set of intervals.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>s</CODE> - the set of support points<DD><CODE>intervals</CODE> - the intervals</DL>
</DD>
</DL>
<HR>

<A NAME="empiricalProbability(weka.classifiers.functions.pace.DoubleVector, weka.classifiers.functions.pace.PaceMatrix)"><!-- --></A><H3>
empiricalProbability</H3>
<PRE>
public <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> <B>empiricalProbability</B>(<A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A>&nbsp;data,
                                       <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A>&nbsp;intervals)</PRE>
<DL>
<DD>Computes the empirical probabilities of the data over a set of
  intervals.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data<DD><CODE>intervals</CODE> - the intervals</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Converts to a string
<P>
<DD><DL>
</DL>
</DD>
</DL>
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