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<CODE> java.lang.String[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#getOptions()">getOptions</A></B>()</CODE><BR> Gets the current settings of KDtree.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#getRevision()">getRevision</A></B>()</CODE><BR> Returns the revision string.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#getTechnicalInformation()">getTechnicalInformation</A></B>()</CODE><BR> 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.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#globalInfo()">globalInfo</A></B>()</CODE><BR> Returns a string describing this nearest neighbour search algorithm.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#kNearestNeighbours(weka.core.Instance, int)">kNearestNeighbours</A></B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> target, int k)</CODE><BR> Returns the k nearest neighbours of the supplied instance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration describing the available options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#maxInstInLeafTipText()">maxInstInLeafTipText</A></B>()</CODE><BR> Tip text for this property.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#measureMaxDepth()">measureMaxDepth</A></B>()</CODE><BR> Returns the depth of the tree.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#measureNumLeaves()">measureNumLeaves</A></B>()</CODE><BR> Returns the number of leaves.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#measureTreeSize()">measureTreeSize</A></B>()</CODE><BR> Returns the size of the tree.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#minBoxRelWidthTipText()">minBoxRelWidthTipText</A></B>()</CODE><BR> Tip text for this property.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#nearestNeighbour(weka.core.Instance)">nearestNeighbour</A></B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> target)</CODE><BR> Returns the nearest neighbour of the supplied target instance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#nodeSplitterTipText()">nodeSplitterTipText</A></B>()</CODE><BR> Returns the tip text for this property.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#normalizeNodeWidthTipText()">normalizeNodeWidthTipText</A></B>()</CODE><BR> Tip text for this property.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setDistanceFunction(weka.core.DistanceFunction)">setDistanceFunction</A></B>(<A HREF="../../../weka/core/DistanceFunction.html" title="interface in weka.core">DistanceFunction</A> df)</CODE><BR> sets the distance function to use for nearest neighbour search.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setInstances(weka.core.Instances)">setInstances</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> instances)</CODE><BR> Builds the KDTree on the given set of instances.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setMaxInstInLeaf(int)">setMaxInstInLeaf</A></B>(int i)</CODE><BR> Sets the maximum number of instances in a leaf.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setMeasurePerformance(boolean)">setMeasurePerformance</A></B>(boolean measurePerformance)</CODE><BR> Sets whether to calculate the performance statistics or not.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setMinBoxRelWidth(double)">setMinBoxRelWidth</A></B>(double i)</CODE><BR> Sets the minimum relative box width.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setNodeSplitter(weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter)">setNodeSplitter</A></B>(<A HREF="../../../weka/core/neighboursearch/kdtrees/KDTreeNodeSplitter.html" title="class in weka.core.neighboursearch.kdtrees">KDTreeNodeSplitter</A> splitter)</CODE><BR> Sets the splitting method to use to split the nodes of the KDTree.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setNormalizeNodeWidth(boolean)">setNormalizeNodeWidth</A></B>(boolean n)</CODE><BR> Sets the flag for normalizing the widths of a KDTree Node by the width of the dimension in the universe.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[] options)</CODE><BR> Parses a given list of options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/core/neighboursearch/KDTree.html#update(weka.core.Instance)">update</A></B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance)</CODE><BR> Adds one instance to the KDTree.</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.core.neighboursearch.NearestNeighbourSearch"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.core.neighboursearch.<A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html" title="class in weka.core.neighboursearch">NearestNeighbourSearch</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#combSort11(double[], int[])">combSort11</A>, <A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#distanceFunctionTipText()">distanceFunctionTipText</A>, <A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#getInstances()">getInstances</A>, <A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#getMeasurePerformance()">getMeasurePerformance</A>, <A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#getPerformanceStats()">getPerformanceStats</A>, <A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#measurePerformanceTipText()">measurePerformanceTipText</A>, <A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#quickSort(double[], double[], int, int)">quickSort</A></CODE></TD></TR></TABLE> <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></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><A NAME="field_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Field Detail</B></FONT></TH></TR></TABLE><A NAME="MIN"><!-- --></A><H3>MIN</H3><PRE>public static final int <B>MIN</B></PRE><DL><DD>The index of MIN value in attributes' range array.<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.core.neighboursearch.KDTree.MIN">Constant Field Values</A></DL></DL><HR><A NAME="MAX"><!-- --></A><H3>MAX</H3><PRE>public static final int <B>MAX</B></PRE><DL><DD>The index of MAX value in attributes' range array.<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.core.neighboursearch.KDTree.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>The index of WIDTH (MAX-MIN) value in attributes' range array.<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.core.neighboursearch.KDTree.WIDTH">Constant Field Values</A></DL></DL><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="KDTree()"><!-- --></A><H3>KDTree</H3><PRE>public <B>KDTree</B>()</PRE><DL><DD>Creates a new instance of KDTree.<P></DL><HR><A NAME="KDTree(weka.core.Instances)"><!-- --></A><H3>KDTree</H3><PRE>public <B>KDTree</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> insts)</PRE><DL><DD>Creates a new instance of KDTree. It also builds the tree on supplied set of Instances.<P><DL><DT><B>Parameters:</B><DD><CODE>insts</CODE> - The instances/points on which the BallTree should be built on.</DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Method Detail</B></FONT></TH></TR></TABLE><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="kNearestNeighbours(weka.core.Instance, int)"><!-- --></A><H3>kNearestNeighbours</H3><PRE>public <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> <B>kNearestNeighbours</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> target, int k) throws java.lang.Exception</PRE><DL><DD>Returns the k nearest neighbours of the supplied instance. >k neighbours are returned if there are more than one neighbours at the kth boundary.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html#kNearestNeighbours(weka.core.Instance, int)">kNearestNeighbours</A></CODE> in class <CODE><A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html" title="class in weka.core.neighboursearch">NearestNeighbourSearch</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>target</CODE> - The instance to find the nearest neighbours for.<DD><CODE>k</CODE> - The number of neighbours to find.<DT><B>Returns:</B><DD>The k nearest neighbours (or >k if more there are than one neighbours at the kth boundary).<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the nearest neighbour could not be found.</DL></DD>⌨️ 快捷键说明
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