kmeansclustermodel.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 01:36:28 CEST 2008 --><TITLE>KMeansClusterModel (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.clustering.clusterer.KMeansClusterModel class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="KMeansClusterModel (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 NAME="navbar_top_firstrow"><!-- 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HREF="../../../../../../com/rapidminer/operator/AbstractIOObject.html" title="class in com.rapidminer.operator">com.rapidminer.operator.AbstractIOObject</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">com.rapidminer.operator.ResultObjectAdapter</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/AbstractClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">com.rapidminer.operator.learner.clustering.AbstractClusterModel</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">com.rapidminer.operator.learner.clustering.FlatCrispClusterModel</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><B>com.rapidminer.operator.learner.clustering.clusterer.KMeansClusterModel</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../../../../com/rapidminer/operator/IOObject.html" title="interface in com.rapidminer.operator">IOObject</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/CentroidBasedClusterModel.html" title="interface in com.rapidminer.operator.learner.clustering">CentroidBasedClusterModel</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/ClusterModel.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterModel</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatClusterModel.html" title="interface in com.rapidminer.operator.learner.clustering">FlatClusterModel</A>, <A HREF="../../../../../../com/rapidminer/operator/ResultObject.html" title="interface in com.rapidminer.operator">ResultObject</A>, <A HREF="../../../../../../com/rapidminer/operator/Saveable.html" title="interface in com.rapidminer.operator">Saveable</A>, <A HREF="../../../../../../com/rapidminer/report/Renderable.html" title="interface in com.rapidminer.report">Renderable</A>, <A HREF="../../../../../../com/rapidminer/report/Reportable.html" title="interface in com.rapidminer.report">Reportable</A>, <A HREF="../../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A>, java.io.Serializable</DD></DL><HR><DL><DT><PRE>public class <B>KMeansClusterModel</B><DT>extends <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A><DT>implements <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/CentroidBasedClusterModel.html" title="interface in com.rapidminer.operator.learner.clustering">CentroidBasedClusterModel</A></DL></PRE><P>A cluster model used for the k-means clustering.<P><P><DL><DT><B>Version:</B></DT> <DD>$Id: KMeansClusterModel.java,v 1.6 2008/05/09 19:22:49 ingomierswa Exp $</DD><DT><B>Author:</B></DT> <DD>Michael Wurst, Ingo Mierswa</DD><DT><B>See Also:</B><DD><A HREF="../../../../../../serialized-form.html#com.rapidminer.operator.learner.clustering.clusterer.KMeansClusterModel">Serialized Form</A></DL><HR><P><!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_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>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/KMeansClusterModel.html#KMeansClusterModel(double[][], com.rapidminer.example.ExampleSet)">KMeansClusterModel</A></B>(double[][] centroids, <A HREF="../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> es)</CODE><BR> </TD></TR></TABLE> <!-- ========== 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> double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/KMeansClusterModel.html#getCentroid(int)">getCentroid</A></B>(int index)</CODE><BR> Returns the values for the centroid.</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="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/KMeansClusterModel.html#getCentroidDistance(int, int)">getCentroidDistance</A></B>(int index1, int index2)</CODE><BR> Get the distance between two centroids with given indices.</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="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/KMeansClusterModel.html#getDimensionNames()">getDimensionNames</A></B>()</CODE><BR> Returns the column names for the used dimensions.</TD>⌨️ 快捷键说明
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