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来自「数据挖掘的最常用工具。由于开源」· HTML 代码 · 共 185 行

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Tue Jul 15 15:50:02 NZST 2008 --><TITLE>weka.core.neighboursearch.kdtrees</TITLE><META NAME="keywords" CONTENT="weka.core.neighboursearch.kdtrees package"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){    parent.document.title="weka.core.neighboursearch.kdtrees";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY="">  <TR 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HREF="../../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><H2>Package weka.core.neighboursearch.kdtrees</H2><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../weka/core/neighboursearch/kdtrees/KDTreeNode.html" title="class in weka.core.neighboursearch.kdtrees">KDTreeNode</A></B></TD><TD>A class representing a KDTree node.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../weka/core/neighboursearch/kdtrees/KDTreeNodeSplitter.html" title="class in weka.core.neighboursearch.kdtrees">KDTreeNodeSplitter</A></B></TD><TD>Class that splits up a KDTreeNode.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../weka/core/neighboursearch/kdtrees/KMeansInpiredMethod.html" title="class in weka.core.neighboursearch.kdtrees">KMeansInpiredMethod</A></B></TD><TD>The class that splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum.<br/> <br/> For more information see also:<br/> <br/> Ashraf Masood Kibriya (2007).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../weka/core/neighboursearch/kdtrees/MedianOfWidestDimension.html" title="class in weka.core.neighboursearch.kdtrees">MedianOfWidestDimension</A></B></TD><TD>The class that splits a KDTree node based on the median value of a dimension in which the node's points have the widest spread.<br/> <br/> For more information see also:<br/> <br/> Jerome H.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../weka/core/neighboursearch/kdtrees/MidPointOfWidestDimension.html" title="class in weka.core.neighboursearch.kdtrees">MidPointOfWidestDimension</A></B></TD><TD>The class that splits a KDTree node based on the midpoint value of a dimension in which the node's points have the widest spread.<br/> <br/> For more information see also:<br/> <br/> Andrew Moore (1991).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../weka/core/neighboursearch/kdtrees/SlidingMidPointOfWidestSide.html" title="class in weka.core.neighboursearch.kdtrees">SlidingMidPointOfWidestSide</A></B></TD><TD>The class that splits a node into two based on the midpoint value of the dimension in which the node's rectangle is widest.</TD></TR></TABLE>&nbsp;<P><DL></DL><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" 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