clustersimilarity.html

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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 Mon Jul 14 01:36:29 CEST 2008 --><TITLE>ClusterSimilarity (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.clustering.hierarchical.clustersimilarity.ClusterSimilarity interface"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){    parent.document.title="ClusterSimilarity (RapidMiner Class Documentation)";}</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 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ClusterSimilarity</H2><DL><DT><B>All Known Implementing Classes:</B> <DD><A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/hierarchical/clustersimilarity/CompleteLink.html" title="class in com.rapidminer.operator.learner.clustering.hierarchical.clustersimilarity">CompleteLink</A>, <A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/hierarchical/clustersimilarity/SingleLink.html" title="class in com.rapidminer.operator.learner.clustering.hierarchical.clustersimilarity">SingleLink</A></DD></DL><HR><DL><DT><PRE>public interface <B>ClusterSimilarity</B></DL></PRE><P>This interface represents a similarity between two clusters as needed for agglomerative clustering.<P><P><DL><DT><B>Version:</B></DT>  <DD>$Id: ClusterSimilarity.java,v 1.3 2008/05/09 19:22:57 ingomierswa Exp $</DD><DT><B>Author:</B></DT>  <DD>Michael Wurst</DD></DL><HR><P><!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/hierarchical/clustersimilarity/ClusterSimilarity.html#similarity(double, double, com.rapidminer.operator.learner.clustering.ClusterNode, com.rapidminer.operator.learner.clustering.ClusterNode, com.rapidminer.operator.learner.clustering.ClusterNode)">similarity</A></B>(double&nbsp;x1y,           double&nbsp;x2y,           <A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/ClusterNode.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterNode</A>&nbsp;cx1,           <A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/ClusterNode.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterNode</A>&nbsp;cx2,           <A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/ClusterNode.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterNode</A>&nbsp;cy)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calculate the similarity between two cluster nodes x and y of which the first one was create by merging two clusters x1 and x2.</TD></TR></TABLE>&nbsp;<P><!-- ============ 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="similarity(double, double, com.rapidminer.operator.learner.clustering.ClusterNode, com.rapidminer.operator.learner.clustering.ClusterNode, com.rapidminer.operator.learner.clustering.ClusterNode)"><!-- --></A><H3>similarity</H3><PRE>double <B>similarity</B>(double&nbsp;x1y,                  double&nbsp;x2y,                  <A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/ClusterNode.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterNode</A>&nbsp;cx1,                  <A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/ClusterNode.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterNode</A>&nbsp;cx2,                  <A HREF="../../../../../../../com/rapidminer/operator/learner/clustering/ClusterNode.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterNode</A>&nbsp;cy)</PRE><DL><DD>Calculate the similarity between two cluster nodes x and y of which the first one was create by merging two clusters x1 and x2.<P><DD><DL><DT><B>Parameters:</B><DD><CODE>x1y</CODE> - the similairty between x1 and y<DD><CODE>x2y</CODE> - the similarity between x2 and y<DD><CODE>cx1</CODE> - the cluster x1<DD><CODE>cx2</CODE> - the cluster x2<DD><CODE>cy</CODE> - the cluster y<DT><B>Returns:</B><DD>the similarity value</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><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" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY="">  <TR ALIGN="center" VALIGN="top">  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A 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