xmeans.html

weka是机器学习和数据挖掘领域最有影响力的开源项目之一

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<TD><CODE><A HREF="../../weka/clusterers/Clusterer.html#distributionForInstance(weka.core.Instance)">distributionForInstance</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>
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&nbsp;<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>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD>
</TR>
</TABLE>
&nbsp;
<P>

<!-- ============ FIELD DETAIL =========== -->

<A NAME="field_detail"><!-- --></A>
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<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Field Detail</B></FONT></TH>
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<A NAME="R_LOW"><!-- --></A><H3>
R_LOW</H3>
<PRE>
public static int <B>R_LOW</B></PRE>
<DL>
<DD>Index in ranges for LOW
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="R_HIGH"><!-- --></A><H3>
R_HIGH</H3>
<PRE>
public static int <B>R_HIGH</B></PRE>
<DL>
<DD>Index in ranges for HIGH
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="R_WIDTH"><!-- --></A><H3>
R_WIDTH</H3>
<PRE>
public static int <B>R_WIDTH</B></PRE>
<DL>
<DD>Index in ranges for WIDTH
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_PRINTCENTERS"><!-- --></A><H3>
D_PRINTCENTERS</H3>
<PRE>
public static int <B>D_PRINTCENTERS</B></PRE>
<DL>
<DD>print the centers
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_FOLLOWSPLIT"><!-- --></A><H3>
D_FOLLOWSPLIT</H3>
<PRE>
public static int <B>D_FOLLOWSPLIT</B></PRE>
<DL>
<DD>follows the splitting of the centers
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_CONVCHCLOSER"><!-- --></A><H3>
D_CONVCHCLOSER</H3>
<PRE>
public static int <B>D_CONVCHCLOSER</B></PRE>
<DL>
<DD>have a closer look at converge children
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_RANDOMVECTOR"><!-- --></A><H3>
D_RANDOMVECTOR</H3>
<PRE>
public static int <B>D_RANDOMVECTOR</B></PRE>
<DL>
<DD>check on random vectors
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_KDTREE"><!-- --></A><H3>
D_KDTREE</H3>
<PRE>
public static int <B>D_KDTREE</B></PRE>
<DL>
<DD>check on kdtree
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_ITERCOUNT"><!-- --></A><H3>
D_ITERCOUNT</H3>
<PRE>
public static int <B>D_ITERCOUNT</B></PRE>
<DL>
<DD>follow iterations
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_METH_MISUSE"><!-- --></A><H3>
D_METH_MISUSE</H3>
<PRE>
public static int <B>D_METH_MISUSE</B></PRE>
<DL>
<DD>functions were maybe misused
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_CURR"><!-- --></A><H3>
D_CURR</H3>
<PRE>
public static int <B>D_CURR</B></PRE>
<DL>
<DD>for current debug
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="D_GENERAL"><!-- --></A><H3>
D_GENERAL</H3>
<PRE>
public static int <B>D_GENERAL</B></PRE>
<DL>
<DD>general debugging
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="m_CurrDebugFlag"><!-- --></A><H3>
m_CurrDebugFlag</H3>
<PRE>
public boolean <B>m_CurrDebugFlag</B></PRE>
<DL>
<DD>Flag: I'm debugging
<P>
<DL>
</DL>
</DL>

<!-- ========= CONSTRUCTOR DETAIL ======== -->

<A NAME="constructor_detail"><!-- --></A>
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<B>Constructor Detail</B></FONT></TH>
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<A NAME="XMeans()"><!-- --></A><H3>
XMeans</H3>
<PRE>
public <B>XMeans</B>()</PRE>
<DL>
<DD>the default constructor
<P>
</DL>

<!-- ============ METHOD DETAIL ========== -->

<A NAME="method_detail"><!-- --></A>
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<B>Method Detail</B></FONT></TH>
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<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="getTechnicalInformation()"><!-- --></A><H3>
getTechnicalInformation</H3>
<PRE>
public <A HREF="../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A> <B>getTechnicalInformation</B>()</PRE>
<DL>
<DD>Returns an instance of a TechnicalInformation object, containing 
 detailed information about the technical background of this class,
 e.g., paper reference or book this class is based on.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/core/TechnicalInformationHandler.html#getTechnicalInformation()">getTechnicalInformation</A></CODE> in interface <CODE><A HREF="../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the technical information about this class</DL>
</DD>
</DL>
<HR>

<A NAME="getCapabilities()"><!-- --></A><H3>
getCapabilities</H3>
<PRE>
public <A HREF="../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A> <B>getCapabilities</B>()</PRE>
<DL>
<DD>Returns default capabilities of the clusterer.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/core/CapabilitiesHandler.html#getCapabilities()">getCapabilities</A></CODE> in interface <CODE><A HREF="../../weka/core/CapabilitiesHandler.html" title="interface in weka.core">CapabilitiesHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/clusterers/Clusterer.html#getCapabilities()">getCapabilities</A></CODE> in class <CODE><A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the capabilities of this clusterer<DT><B>See Also:</B><DD><A HREF="../../weka/core/Capabilities.html" title="class in weka.core"><CODE>Capabilities</CODE></A></DL>
</DD>
</DL>
<HR>

<A NAME="buildClusterer(weka.core.Instances)"><!-- --></A><H3>
buildClusterer</H3>
<PRE>
public void <B>buildClusterer</B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data)
                    throws java.lang.Exception</PRE>
<DL>
<DD>Generates the X-Means clusterer.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/clusterers/Clusterer.html#buildClusterer(weka.core.Instances)">buildClusterer</A></CODE> in class <CODE><A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - set of instances serving as training data
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the clusterer has not been 
 generated successfully</DL>
</DD>
</DL>
<HR>

<A NAME="checkForNominalAttributes(weka.core.Instances)"><!-- --></A><H3>
checkForNominalAttributes</H3>
<PRE>
public boolean <B>checkForNominalAttributes</B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data)</PRE>
<DL>
<DD>Checks for nominal attributes in the dataset.
 Class attribute is ignored.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the data to check
<DT><B>Returns:</B><DD>false if no nominal attributes are present</DL>
</DD>
</DL>
<HR>

<A NAME="clusterInstance(weka.core.Instance)"><!-- --></A><H3>
clusterInstance</H3>
<PRE>
public int <B>clusterInstance</B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                    throws java.lang.Exception</PRE>
<DL>
<DD>Classifies a given instance.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/clusterers/Clusterer.html#clusterInstance(weka.core.Instance)">clusterInstance</A></CODE> in class <CODE><A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be assigned to a cluster
<DT><B>Returns:</B><DD>the number of the assigned cluster as an integer
 if the class is enumerated, otherwise the predicted value
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if instance could not be classified
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="numberOfClusters()"><!-- --></A><H3>
numberOfClusters</H3>
<PRE>
public int <B>numberOfClusters</B>()</PRE>
<DL>
<DD>Returns the number of clusters.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/clusterers/Clusterer.html#numberOfClusters()">numberOfClusters</A></CODE> in class <CODE><A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the number of clusters generated for a training dataset.</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/RandomizableClusterer.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../weka/clusterers/RandomizableClusterer.html" title="class in weka.clusterers">RandomizableClusterer</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an enumeration of all the available options</DL>
</DD>
</DL>
<HR>

<A NAME="minNumClustersTipText()"><!-- --></A><H3>
minNumClustersTipText</H3>
<PRE>
public java.lang.String <B>minNumClustersTipText</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</DL>
</DD>
</DL>
<HR>

<A NAME="setMinNumClusters(int)"><!-- --></A><H3>
setMinNumClusters</H3>
<PRE>
public void <B>setMinNumClusters</B>(int&nbsp;n)</PRE>
<DL>
<DD>Sets the minimum number of clusters to generate.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>n</CODE> - the minimum number of clusters to generate</DL>
</DD>
</DL>
<HR>

<A NAME="getMinNumClusters()"><!-- --></A><H3>
getMinNumClusters</H3>
<PRE>
public int <B>getMinNumClusters</B>()</PRE>
<DL>
<DD>Gets the minimum number of clusters to generate.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the minimum number of clusters to generate</DL>