clustererpanel.html

< 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

<PRE>
protected int <B>m_visYIndex</B></PRE>
<DL>
<DD>default y index for visualizing</DL>
<HR>

<A NAME="m_StorePredictionsBut"><!-- --></A><H3>
m_StorePredictionsBut</H3>
<PRE>
protected javax.swing.JCheckBox <B>m_StorePredictionsBut</B></PRE>
<DL>
<DD>Check to save the predictions in the results list for visualizing
later on</DL>
<HR>

<A NAME="m_RunThread"><!-- --></A><H3>
m_RunThread</H3>
<PRE>
protected java.lang.Thread <B>m_RunThread</B></PRE>
<DL>
<DD>A thread that clustering runs in</DL>
<HR>

<A NAME="m_Preprocess"><!-- --></A><H3>
m_Preprocess</H3>
<PRE>
protected <A HREF="../../../weka/gui/explorer/PreprocessPanel.html">PreprocessPanel</A> <B>m_Preprocess</B></PRE>
<DL>
<DD>The pre-process object from which to fetch filters for applying
to a user specified test set</DL>
<HR>

<A NAME="m_Summary"><!-- --></A><H3>
m_Summary</H3>
<PRE>
protected <A HREF="../../../weka/gui/InstancesSummaryPanel.html">InstancesSummaryPanel</A> <B>m_Summary</B></PRE>
<DL>
<DD>The instances summary panel displayed by m_SetTestFrame</DL>

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<A NAME="ClustererPanel()"><!-- --></A><H3>
ClustererPanel</H3>
<PRE>
public <B>ClustererPanel</B>()</PRE>
<DL>
<DD>Creates the clusterer panel</DL>

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<A NAME="updateRadioLinks()"><!-- --></A><H3>
updateRadioLinks</H3>
<PRE>
protected void <B>updateRadioLinks</B>()</PRE>
<DL>
<DD>Updates the enabled status of the input fields and labels.</DL>
<HR>

<A NAME="setPreprocess(weka.gui.explorer.PreprocessPanel)"><!-- --></A><H3>
setPreprocess</H3>
<PRE>
public void <B>setPreprocess</B>(<A HREF="../../../weka/gui/explorer/PreprocessPanel.html">PreprocessPanel</A>&nbsp;p)</PRE>
<DL>
<DD>Sets the preprocess panel through which user selected
 filters can be applied to any supplied test data<DD><DL>
<DT><B>Parameters:</B><DD><CODE>p</CODE> - the preprocess panel to use</DL>
</DD>
</DL>
<HR>

<A NAME="setLog(weka.gui.Logger)"><!-- --></A><H3>
setLog</H3>
<PRE>
public void <B>setLog</B>(<A HREF="../../../weka/gui/Logger.html">Logger</A>&nbsp;newLog)</PRE>
<DL>
<DD>Sets the Logger to receive informational messages<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newLog</CODE> - the Logger that will now get info messages</DL>
</DD>
</DL>
<HR>

<A NAME="setXY_VisualizeIndexes(int, int)"><!-- --></A><H3>
setXY_VisualizeIndexes</H3>
<PRE>
public void <B>setXY_VisualizeIndexes</B>(int&nbsp;x,
                                   int&nbsp;y)</PRE>
<DL>
<DD>Set the default attributes to use on the x and y axis
 of a new visualization object.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>x</CODE> - the index of the attribute to use on the x axis<DD><CODE>y</CODE> - the index of the attribute to use on the y axis</DL>
</DD>
</DL>
<HR>

<A NAME="setInstances(weka.core.Instances)"><!-- --></A><H3>
setInstances</H3>
<PRE>
public void <B>setInstances</B>(<A HREF="../../../weka/core/Instances.html">Instances</A>&nbsp;inst)</PRE>
<DL>
<DD>Tells the panel to use a new set of instances.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>inst</CODE> - a set of Instances</DL>
</DD>
</DL>
<HR>

<A NAME="filterUserTestInstances()"><!-- --></A><H3>
filterUserTestInstances</H3>
<PRE>
protected void <B>filterUserTestInstances</B>()</PRE>
<DL>
<DD>Attempts to filter the user specified test set through
 the most currently used set of filters (if any) from the
 pre-process panel.</DL>
<HR>

<A NAME="setTestSet()"><!-- --></A><H3>
setTestSet</H3>
<PRE>
protected void <B>setTestSet</B>()</PRE>
<DL>
<DD>Sets the user test set. Information about the current test set
 is displayed in an InstanceSummaryPanel and the user is given the
 ability to load another set from a file or url.</DL>
<HR>

<A NAME="startClusterer()"><!-- --></A><H3>
startClusterer</H3>
<PRE>
protected void <B>startClusterer</B>()</PRE>
<DL>
<DD>Starts running the currently configured clusterer with the current
 settings. This is run in a separate thread, and will only start if
 there is no clusterer already running. The clusterer output is sent
 to the results history panel.</DL>
<HR>

<A NAME="stopClusterer()"><!-- --></A><H3>
stopClusterer</H3>
<PRE>
protected void <B>stopClusterer</B>()</PRE>
<DL>
<DD>Stops the currently running clusterer (if any).</DL>
<HR>

<A NAME="visualizeTree(java.lang.String, java.lang.String)"><!-- --></A><H3>
visualizeTree</H3>
<PRE>
protected void <B>visualizeTree</B>(java.lang.String&nbsp;dottyString,
                             java.lang.String&nbsp;treeName)</PRE>
<DL>
<DD>Pops up a TreeVisualizer for the clusterer from the currently
 selected item in the results list<DD><DL>
<DT><B>Parameters:</B><DD><CODE>dottyString</CODE> - the description of the tree in dotty format<DD><CODE>treeName</CODE> - the title to assign to the display</DL>
</DD>
</DL>
<HR>

<A NAME="visualizeClusterAssignments(weka.gui.visualize.VisualizePanel)"><!-- --></A><H3>
visualizeClusterAssignments</H3>
<PRE>
protected void <B>visualizeClusterAssignments</B>(<A HREF="../../../weka/gui/visualize/VisualizePanel.html">VisualizePanel</A>&nbsp;sp)</PRE>
<DL>
<DD>Pops up a visualize panel to display cluster assignments<DD><DL>
<DT><B>Parameters:</B><DD><CODE>sp</CODE> - the visualize panel to display</DL>
</DD>
</DL>
<HR>

<A NAME="visualizeClusterer(java.lang.String, int, int)"><!-- --></A><H3>
visualizeClusterer</H3>
<PRE>
protected void <B>visualizeClusterer</B>(java.lang.String&nbsp;name,
                                  int&nbsp;x,
                                  int&nbsp;y)</PRE>
<DL>
<DD>Handles constructing a popup menu with visualization options<DD><DL>
<DT><B>Parameters:</B><DD><CODE>name</CODE> - the name of the result history list entry clicked on by
 the user<DD><CODE>x</CODE> - the x coordinate for popping up the menu<DD><CODE>y</CODE> - the y coordinate for popping up the menu</DL>
</DD>
</DL>
<HR>

<A NAME="saveBuffer(java.lang.String)"><!-- --></A><H3>
saveBuffer</H3>
<PRE>
protected void <B>saveBuffer</B>(java.lang.String&nbsp;name)</PRE>
<DL>
<DD>Save the currently selected clusterer output to a file.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>name</CODE> - the name of the buffer to save</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;args)</PRE>
<DL>
<DD>Tests out the clusterer panel from the command line.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>args</CODE> - may optionally contain the name of a dataset to load.</DL>
</DD>
</DL>
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