kdtreenodesplitter.html

数据挖掘的最常用工具。由于开源

<DD>Index of max value in an array of attributes' range.
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../../constant-values.html#weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter.MAX">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="WIDTH"><!-- --></A><H3>
WIDTH</H3>
<PRE>
public static final int <B>WIDTH</B></PRE>
<DL>
<DD>Index of width value (max-min) in an array of attributes' range.
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../../constant-values.html#weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter.WIDTH">Constant Field Values</A></DL>
</DL>

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

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<A NAME="KDTreeNodeSplitter()"><!-- --></A><H3>
KDTreeNodeSplitter</H3>
<PRE>
public <B>KDTreeNodeSplitter</B>()</PRE>
<DL>
<DD>default constructor.
<P>
</DL>
<HR>

<A NAME="KDTreeNodeSplitter(int[], weka.core.Instances, weka.core.EuclideanDistance)"><!-- --></A><H3>
KDTreeNodeSplitter</H3>
<PRE>
public <B>KDTreeNodeSplitter</B>(int[]&nbsp;instList,
                          <A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;insts,
                          <A HREF="../../../../weka/core/EuclideanDistance.html" title="class in weka.core">EuclideanDistance</A>&nbsp;e)</PRE>
<DL>
<DD>Creates a new instance of KDTreeNodeSplitter.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>instList</CODE> - Reference of the master index array.<DD><CODE>insts</CODE> - The set of training instances on which 
 the tree is built.<DD><CODE>e</CODE> - The EuclideanDistance object that is used
 in tree contruction.</DL>
</DL>

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<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></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[]&nbsp;options)
                throws java.lang.Exception</PRE>
<DL>
<DD>Parses a given list of options.
<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></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 object.
<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></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL>
</DD>
</DL>
<HR>

<A NAME="splitNode(weka.core.neighboursearch.kdtrees.KDTreeNode, int, double[][], double[][])"><!-- --></A><H3>
splitNode</H3>
<PRE>
public abstract void <B>splitNode</B>(<A HREF="../../../../weka/core/neighboursearch/kdtrees/KDTreeNode.html" title="class in weka.core.neighboursearch.kdtrees">KDTreeNode</A>&nbsp;node,
                               int&nbsp;numNodesCreated,
                               double[][]&nbsp;nodeRanges,
                               double[][]&nbsp;universe)
                        throws java.lang.Exception</PRE>
<DL>
<DD>Splits a node into two. After splitting two new nodes are created
 and correctly initialised. And, node.left and node.right are 
 set appropriately.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>node</CODE> - The node to split.<DD><CODE>numNodesCreated</CODE> - The number of nodes that so far have been
 created for the tree, so that the newly created nodes are 
 assigned correct/meaningful node numbers/ids.<DD><CODE>nodeRanges</CODE> - The attributes' range for the points inside
 the node that is to be split.<DD><CODE>universe</CODE> - The attributes' range for the whole 
 point-space.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - If there is some problem in splitting the
 given node.</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" title="class in weka.core">Instances</A>&nbsp;inst)</PRE>
<DL>
<DD>Sets the training instances on which the tree is (or is 
 to be) built.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>inst</CODE> - The training instances.</DL>
</DD>
</DL>
<HR>

<A NAME="setInstanceList(int[])"><!-- --></A><H3>
setInstanceList</H3>
<PRE>
public void <B>setInstanceList</B>(int[]&nbsp;instList)</PRE>
<DL>
<DD>Sets the master index array containing indices of the
 training instances. This array will be rearranged as 
 the tree is built, so that each node is assigned a 
 portion in this array which contain the instances 
 insides the node's region.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instList</CODE> - The master index array.</DL>
</DD>
</DL>
<HR>

<A NAME="setEuclideanDistanceFunction(weka.core.EuclideanDistance)"><!-- --></A><H3>
setEuclideanDistanceFunction</H3>
<PRE>
public void <B>setEuclideanDistanceFunction</B>(<A HREF="../../../../weka/core/EuclideanDistance.html" title="class in weka.core">EuclideanDistance</A>&nbsp;func)</PRE>
<DL>
<DD>Sets the EuclideanDistance object to use for 
 splitting nodes.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>func</CODE> - The EuclideanDistance object.</DL>
</DD>
</DL>
<HR>

<A NAME="setNodeWidthNormalization(boolean)"><!-- --></A><H3>
setNodeWidthNormalization</H3>
<PRE>
public void <B>setNodeWidthNormalization</B>(boolean&nbsp;normalize)</PRE>
<DL>
<DD>Sets whether if a nodes region is normalized 
 or not. If set to true then, when selecting 
 the widest attribute/dimension for splitting, 
 the width of each attribute/dimension,
 of the points inside the node's region, is 
 divided by the width of that 
 attribute/dimension for the whole point-space.
 Thus, each attribute/dimension of that node
 is normalized.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>normalize</CODE> - Should be true if 
 normalization is required.</DL>
</DD>
</DL>
<HR>

<A NAME="getRevision()"><!-- --></A><H3>
getRevision</H3>
<PRE>
public java.lang.String <B>getRevision</B>()</PRE>
<DL>
<DD>Returns the revision string.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/core/RevisionHandler.html#getRevision()">getRevision</A></CODE> in interface <CODE><A HREF="../../../../weka/core/RevisionHandler.html" title="interface in weka.core">RevisionHandler</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the revision</DL>
</DD>
</DL>
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