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< 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:class

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<B>Method Detail</B></FONT></TD>
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<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html">Instances</A>&nbsp;instances)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Generates the classifier.<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#buildClassifier(weka.core.Instances)">buildClassifier</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instances</CODE> - set of instances serving as training data<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier has not been generated successfully</DL>
</DD>
</DL>
<HR>

<A NAME="updateClassifier(weka.core.Instance)"><!-- --></A><H3>
updateClassifier</H3>
<PRE>
public void <B>updateClassifier</B>(<A HREF="../../../weka/core/Instance.html">Instance</A>&nbsp;instance)
                      throws java.lang.Exception</PRE>
<DL>
<DD>Adds the supplied instance to the training set<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/UpdateableClassifier.html#updateClassifier(weka.core.Instance)">updateClassifier</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/UpdateableClassifier.html">UpdateableClassifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to add<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if instance could not be incorporated 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">Instance</A>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Calculates the class membership probabilities for the given test instance.<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/DistributionClassifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified<DT><B>Returns:</B><DD>predicted class probability distribution<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an error occurred during the prediction</DL>
</DD>
</DL>
<HR>

<A NAME="getMissingMode()"><!-- --></A><H3>
getMissingMode</H3>
<PRE>
public <A HREF="../../../weka/core/SelectedTag.html">SelectedTag</A> <B>getMissingMode</B>()</PRE>
<DL>
<DD>Gets the method to use for handling missing values. Will be one of
 M_NORMAL, M_AVERAGE, M_MAXDIFF or M_DELETE.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the method used for handling missing values.</DL>
</DD>
</DL>
<HR>

<A NAME="setMissingMode(weka.core.SelectedTag)"><!-- --></A><H3>
setMissingMode</H3>
<PRE>
public void <B>setMissingMode</B>(<A HREF="../../../weka/core/SelectedTag.html">SelectedTag</A>&nbsp;newMode)</PRE>
<DL>
<DD>Sets the method to use for handling missing values. Values other than
 M_NORMAL, M_AVERAGE, M_MAXDIFF and M_DELETE will be ignored.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMode</CODE> - the method to use for handling missing values.</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<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">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an enumeration of all the available options</DL>
</DD>
</DL>
<HR>

<A NAME="setGlobalBlend(int)"><!-- --></A><H3>
setGlobalBlend</H3>
<PRE>
public void <B>setGlobalBlend</B>(int&nbsp;b)</PRE>
<DL>
<DD>Set the global blend parameter<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>b</CODE> - the value for global blending</DL>
</DD>
</DL>
<HR>

<A NAME="getGlobalBlend()"><!-- --></A><H3>
getGlobalBlend</H3>
<PRE>
public int <B>getGlobalBlend</B>()</PRE>
<DL>
<DD>Get the value of the global blend parameter<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the value of the global blend parameter</DL>
</DD>
</DL>
<HR>

<A NAME="setEntropicAutoBlend(boolean)"><!-- --></A><H3>
setEntropicAutoBlend</H3>
<PRE>
public void <B>setEntropicAutoBlend</B>(boolean&nbsp;e)</PRE>
<DL>
<DD>Set whether entropic blending is to be used.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>e</CODE> - true if entropic blending is to be used</DL>
</DD>
</DL>
<HR>

<A NAME="getEntropicAutoBlend()"><!-- --></A><H3>
getEntropicAutoBlend</H3>
<PRE>
public boolean <B>getEntropicAutoBlend</B>()</PRE>
<DL>
<DD>Get whether entropic blending being used<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>true if entropic blending is used</DL>
</DD>
</DL>
<HR>

<A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>
setOptions</H3>
<PRE>
public void <B>setOptions</B>(java.lang.String[]&nbsp;options)
                throws java.lang.Exception</PRE>
<DL>
<DD>Parses a given list of options. Valid options are:
 ...<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">OptionHandler</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 K*.<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">OptionHandler</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="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns a description of this classifier.<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a description of this classifier as a string.</DL>
</DD>
</DL>
<HR>

<A NAME="main(java.lang.String[])"><!-- --></A><H3>
main</H3>
<PRE>
public static void <B>main</B>(java.lang.String[]&nbsp;argv)</PRE>
<DL>
<DD>Main method for testing this class.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>argv</CODE> - should contain command line options (see setOptions)</DL>
</DD>
</DL>
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