bregmanhardclustering.html

来自「数据挖掘方面最新软件」· HTML 代码 · 共 675 行 · 第 1/4 页

HTML
675
字号
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#LOGISTIC_LOSS">LOGISTIC_LOSS</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#MAHALANOBIS_DISTANCE">MAHALANOBIS_DISTANCE</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#PARAMETER_BREGMAN_DIVERGENCE">PARAMETER_BREGMAN_DIVERGENCE</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The parameter name for &quot;Bregman Divergence&quot;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#PARAMETER_LOCAL_RANDOM_SEED">PARAMETER_LOCAL_RANDOM_SEED</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The parameter name for &quot;Use the given random seed instead of global random numbers (-1: use global).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#SQUARED_EUCLIDEAN_DISTANCE">SQUARED_EUCLIDEAN_DISTANCE</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#SQUARED_LOSS">SQUARED_LOSS</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR></TABLE>&nbsp;<A NAME="fields_inherited_from_class_com.rapidminer.operator.learner.clustering.clusterer.AbstractKMethod"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Fields inherited from class com.rapidminer.operator.learner.clustering.clusterer.<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">AbstractKMethod</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html#PARAMETER_K">PARAMETER_K</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html#PARAMETER_MAX_OPTIMIZATION_STEPS">PARAMETER_MAX_OPTIMIZATION_STEPS</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html#PARAMETER_MAX_RUNS">PARAMETER_MAX_RUNS</A></CODE></TD></TR></TABLE>&nbsp;<A NAME="fields_inherited_from_class_com.rapidminer.operator.learner.clustering.clusterer.AbstractClustering"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Fields inherited from class com.rapidminer.operator.learner.clustering.clusterer.<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractClustering.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">AbstractClustering</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractClustering.html#NOISE">NOISE</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractClustering.html#NOISE_CLUSTER_DESCRIPTION">NOISE_CLUSTER_DESCRIPTION</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractClustering.html#PARAMETER_ADD_CHARACTERIZATION">PARAMETER_ADD_CHARACTERIZATION</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractClustering.html#PARAMETER_ADD_CLUSTER_ATTRIBUTE">PARAMETER_ADD_CLUSTER_ATTRIBUTE</A></CODE></TD></TR></TABLE>&nbsp;<!-- ======== 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/BregmanHardClustering.html#BregmanHardClustering(com.rapidminer.operator.OperatorDescription)">BregmanHardClustering</A></B>(<A HREF="../../../../../../com/rapidminer/operator/OperatorDescription.html" title="class in com.rapidminer.operator">OperatorDescription</A>&nbsp;description)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR></TABLE>&nbsp;<!-- ========== 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>protected &nbsp;int</CODE></FONT></TD><TD><CODE><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&nbsp;id,          <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A>&nbsp;cm,          <A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A>&nbsp;oldCm)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/ClusterModel.html" title="interface in com.rapidminer.operator.learner.clustering">ClusterModel</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#createClusterModel(com.rapidminer.example.ExampleSet)">createClusterModel</A></B>(<A HREF="../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected &nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#evaluateClusterModel(com.rapidminer.operator.learner.clustering.FlatCrispClusterModel)">evaluateClusterModel</A></B>(<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A>&nbsp;cl)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;java.util.List&lt;<A HREF="../../../../../../com/rapidminer/parameter/ParameterType.html" title="class in com.rapidminer.parameter">ParameterType</A>&gt;</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#getParameterTypes()">getParameterTypes</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns a list of <tt>ParameterTypes</tt> describing the parameters of this operator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected &nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#initKMethod(java.util.List, int)">initKMethod</A></B>(java.util.List&lt;java.lang.String&gt;&nbsp;ids,            int&nbsp;k)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected &nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/BregmanHardClustering.html#recalculateCentroids(com.rapidminer.operator.learner.clustering.FlatCrispClusterModel)">recalculateCentroids</A></B>(<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/FlatCrispClusterModel.html" title="class in com.rapidminer.operator.learner.clustering">FlatCrispClusterModel</A>&nbsp;cl)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR></TABLE>&nbsp;<A NAME="methods_inherited_from_class_com.rapidminer.operator.learner.clustering.clusterer.AbstractKMethod"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class com.rapidminer.operator.learner.clustering.clusterer.<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">AbstractKMethod</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractKMethod.html#kmethod(com.rapidminer.example.ExampleSet, int, int, int)">kmethod</A></CODE></TD></TR></TABLE>&nbsp;<A NAME="methods_inherited_from_class_com.rapidminer.operator.learner.clustering.clusterer.AbstractFlatClusterer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class com.rapidminer.operator.learner.clustering.clusterer.<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractFlatClusterer.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">AbstractFlatClusterer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractFlatClusterer.html#isFlatClusterer()">isFlatClusterer</A></CODE></TD></TR></TABLE>&nbsp;<A NAME="methods_inherited_from_class_com.rapidminer.operator.learner.clustering.clusterer.AbstractClustering"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class com.rapidminer.operator.learner.clustering.clusterer.<A HREF="../../../../../../com/rapidminer/operator/learner/clustering/clusterer/AbstractClustering.html" title="class in com.rapidminer.operator.learner.clustering.clusterer">AbstractClustering</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor">

⌨️ 快捷键说明

复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?