referenceinstances.html

< 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:class

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<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../weka/classifiers/adtree/ReferenceInstances.html#addReference(weka.core.Instance)">addReference</A></B>(<A HREF="../../../weka/core/Instance.html">Instance</A>&nbsp;instance)</CODE>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Adds one instance reference to the end of the set.</TD>
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<TD><B>Methods inherited from class weka.core.<A HREF="../../../weka/core/Instances.html">Instances</A></B></TD>
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<TD><CODE><A HREF="../../../weka/core/Instances.html#add(weka.core.Instance)">add</A>, <A HREF="../../../weka/core/Instances.html#attribute(int)">attribute</A>, <A HREF="../../../weka/core/Instances.html#attribute(java.lang.String)">attribute</A>, <A HREF="../../../weka/core/Instances.html#attributeStats(int)">attributeStats</A>, <A HREF="../../../weka/core/Instances.html#attributeToDoubleArray(int)">attributeToDoubleArray</A>, <A HREF="../../../weka/core/Instances.html#checkForStringAttributes()">checkForStringAttributes</A>, <A HREF="../../../weka/core/Instances.html#checkInstance(weka.core.Instance)">checkInstance</A>, <A HREF="../../../weka/core/Instances.html#classAttribute()">classAttribute</A>, <A HREF="../../../weka/core/Instances.html#classIndex()">classIndex</A>, <A HREF="../../../weka/core/Instances.html#compactify()">compactify</A>, <A HREF="../../../weka/core/Instances.html#delete()">delete</A>, <A HREF="../../../weka/core/Instances.html#delete(int)">delete</A>, <A HREF="../../../weka/core/Instances.html#deleteAttributeAt(int)">deleteAttributeAt</A>, <A HREF="../../../weka/core/Instances.html#deleteStringAttributes()">deleteStringAttributes</A>, <A HREF="../../../weka/core/Instances.html#deleteWithMissing(weka.core.Attribute)">deleteWithMissing</A>, <A HREF="../../../weka/core/Instances.html#deleteWithMissing(int)">deleteWithMissing</A>, <A HREF="../../../weka/core/Instances.html#deleteWithMissingClass()">deleteWithMissingClass</A>, <A HREF="../../../weka/core/Instances.html#enumerateAttributes()">enumerateAttributes</A>, <A HREF="../../../weka/core/Instances.html#enumerateInstances()">enumerateInstances</A>, <A HREF="../../../weka/core/Instances.html#equalHeaders(weka.core.Instances)">equalHeaders</A>, <A HREF="../../../weka/core/Instances.html#firstInstance()">firstInstance</A>, <A HREF="../../../weka/core/Instances.html#getInstance(java.io.StreamTokenizer, boolean)">getInstance</A>, <A HREF="../../../weka/core/Instances.html#getInstanceFull(java.io.StreamTokenizer, boolean)">getInstanceFull</A>, <A HREF="../../../weka/core/Instances.html#getInstanceSparse(java.io.StreamTokenizer, boolean)">getInstanceSparse</A>, <A HREF="../../../weka/core/Instances.html#insertAttributeAt(weka.core.Attribute, int)">insertAttributeAt</A>, <A HREF="../../../weka/core/Instances.html#instance(int)">instance</A>, <A HREF="../../../weka/core/Instances.html#lastInstance()">lastInstance</A>, <A HREF="../../../weka/core/Instances.html#main(java.lang.String[])">main</A>, <A HREF="../../../weka/core/Instances.html#meanOrMode(weka.core.Attribute)">meanOrMode</A>, <A HREF="../../../weka/core/Instances.html#meanOrMode(int)">meanOrMode</A>, <A HREF="../../../weka/core/Instances.html#mergeInstances(weka.core.Instances, weka.core.Instances)">mergeInstances</A>, <A HREF="../../../weka/core/Instances.html#numAttributes()">numAttributes</A>, <A 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HREF="../../../weka/core/Instances.html#renameAttributeValue(weka.core.Attribute, java.lang.String, java.lang.String)">renameAttributeValue</A>, <A HREF="../../../weka/core/Instances.html#renameAttributeValue(int, int, java.lang.String)">renameAttributeValue</A>, <A HREF="../../../weka/core/Instances.html#resample(java.util.Random)">resample</A>, <A HREF="../../../weka/core/Instances.html#resampleWithWeights(java.util.Random)">resampleWithWeights</A>, <A HREF="../../../weka/core/Instances.html#resampleWithWeights(java.util.Random, double[])">resampleWithWeights</A>, <A HREF="../../../weka/core/Instances.html#setClass(weka.core.Attribute)">setClass</A>, <A HREF="../../../weka/core/Instances.html#setClassIndex(int)">setClassIndex</A>, <A HREF="../../../weka/core/Instances.html#setRelationName(java.lang.String)">setRelationName</A>, <A HREF="../../../weka/core/Instances.html#sort(weka.core.Attribute)">sort</A>, <A HREF="../../../weka/core/Instances.html#sort(int)">sort</A>, <A HREF="../../../weka/core/Instances.html#stratify(int)">stratify</A>, <A HREF="../../../weka/core/Instances.html#stringFreeStructure()">stringFreeStructure</A>, <A HREF="../../../weka/core/Instances.html#sumOfWeights()">sumOfWeights</A>, <A HREF="../../../weka/core/Instances.html#test(java.lang.String[])">test</A>, <A HREF="../../../weka/core/Instances.html#testCV(int, int)">testCV</A>, <A HREF="../../../weka/core/Instances.html#toString()">toString</A>, <A HREF="../../../weka/core/Instances.html#toSummaryString()">toSummaryString</A>, <A HREF="../../../weka/core/Instances.html#trainCV(int, int)">trainCV</A>, <A HREF="../../../weka/core/Instances.html#variance(weka.core.Attribute)">variance</A>, <A HREF="../../../weka/core/Instances.html#variance(int)">variance</A></CODE></TD>
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<TD><B>Methods inherited from class java.lang.Object</B></TD>
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<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD>
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<A NAME="ReferenceInstances(weka.core.Instances, int)"><!-- --></A><H3>
ReferenceInstances</H3>
<PRE>
public <B>ReferenceInstances</B>(<A HREF="../../../weka/core/Instances.html">Instances</A>&nbsp;dataset,
                          int&nbsp;capacity)</PRE>
<DL>
<DD>Creates an empty set of instances.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>dataset</CODE> - the instances to get the header information from<DD><CODE>capacity</CODE> - the initial storage capacity of the set</DL>
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<A NAME="addReference(weka.core.Instance)"><!-- --></A><H3>
addReference</H3>
<PRE>
public final void <B>addReference</B>(<A HREF="../../../weka/core/Instance.html">Instance</A>&nbsp;instance)</PRE>
<DL>
<DD>Adds one instance reference to the end of the set. 
 Does not copy instance before it is added. Increases the
 size of the dataset if it is not large enough. Does not
 check if the instance is compatible with the dataset.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be added</DL>
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