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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 01:37:02 CEST 2008 --><TITLE>Uses of Class com.rapidminer.operator.learner.clustering.FlatCrispClusterModel (RapidMiner Class Documentation)</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="Uses of Class com.rapidminer.operator.learner.clustering.FlatCrispClusterModel (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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//--></SCRIPT><NOSCRIPT> <A 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><CENTER><H2><B>Uses of Class<br>com.rapidminer.operator.learner.clustering.FlatCrispClusterModel</B></H2></CENTER><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Packages that use <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering"><B>com.rapidminer.operator.learner.clustering</B></A></TD><TD>Core data structures for the clustering plugin. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.clusterer"><B>com.rapidminer.operator.learner.clustering.clusterer</B></A></TD><TD>Clustering algorithms. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.constrained"><B>com.rapidminer.operator.learner.clustering.constrained</B></A></TD><TD>Provides constrained and semisupervised clustering schemes. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.hierarchical"><B>com.rapidminer.operator.learner.clustering.hierarchical</B></A></TD><TD>Methods and framework for hierarchical clustering. </TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.clustering"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> in <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/package-summary.html">com.rapidminer.operator.learner.clustering</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Subclasses of <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> in <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/package-summary.html">com.rapidminer.operator.learner.clustering</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlattendClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlattendClusterModel</A></B></CODE><BR> Adapter to build a flat copy from a hierarchical cluster model.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.clustering.clusterer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> in <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/package-summary.html">com.rapidminer.operator.learner.clustering.clusterer</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Subclasses of <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> in <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/package-summary.html">com.rapidminer.operator.learner.clustering.clusterer</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/KMeansClusterModel.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">KMeansClusterModel</A></B></CODE><BR> A cluster model used for the k-means clustering.</TD></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Methods in <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/package-summary.html">com.rapidminer.operator.learner.clustering.clusterer</A> that return <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A></CODE></FONT></TD><TD><CODE><B>AbstractDensityBasedClusterer.</B><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractDensityBasedClusterer.html#doClustering(com.rapidminer.example.ExampleSet)">doClustering</A></B>(<A HREF="../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> es)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A></CODE></FONT></TD><TD><CODE><B>AbstractKMethod.</B><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html#kmethod(com.rapidminer.example.ExampleSet, int, int, int)">kmethod</A></B>(<A HREF="../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> es, int k, int maxOptimizationSteps, int maxRuns)</CODE><BR> </TD></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Methods in <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/package-summary.html">com.rapidminer.operator.learner.clustering.clusterer</A> with parameters of type <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B>KMedoids.</B><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/KMedoids.html#bestIndex(java.lang.String, com.rapidminer.operator.learner.clustering.FlatCrispClusterModel, com.rapidminer.operator.learner.clustering.FlatCrispClusterModel)">bestIndex</A></B>(java.lang.String id, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> cl, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> cmOld)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected abstract int</CODE></FONT></TD><TD><CODE><B>AbstractKMethod.</B><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html#bestIndex(java.lang.String, com.rapidminer.operator.learner.clustering.FlatCrispClusterModel, com.rapidminer.operator.learner.clustering.FlatCrispClusterModel)">bestIndex</A></B>(java.lang.String id, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> cm, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A> oldCm)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B>BregmanHardClustering.</B><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#bestIndex(java.lang.String, com.rapidminer.operator.learner.clustering.FlatCrispClusterModel, com.rapidminer.operator.learner.clustering.FlatCrispClusterModel)">bestIndex</A></B>(java.lang.String id,⌨️ 快捷键说明
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