?? algorithmkmeans.html
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<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Field Detail</B></FONT></TH></TR></TABLE><A NAME="RAND_SEED"><!-- --></A><H3>RAND_SEED</H3><PRE>public static final long <B>RAND_SEED</B></PRE><DL><DD>The random number generator<P><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#AlgorithmKMeans.RAND_SEED">Constant Field Values</A></DL></DL><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_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>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="AlgorithmKMeans()"><!-- --></A><H3>AlgorithmKMeans</H3><PRE>public <B>AlgorithmKMeans</B>()</PRE><DL></DL><!-- ============ 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="initialize()"><!-- --></A><H3>initialize</H3><PRE>public boolean <B>initialize</B>()</PRE><DL><DD>Overrides the initialize() method in the base class. Initializes member data and prepares for execution of first step. This method "resets" the algorithm.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="Algorithm.html#initialize()">initialize</A></CODE> in class <CODE><A HREF="Algorithm.html" title="class in <Unnamed>">Algorithm</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>Returns false</DL></DD></DL><HR><A NAME="run()"><!-- --></A><H3>run</H3><PRE>public void <B>run</B>()</PRE><DL><DD>Implementation of the run function from the Runnable interface. Determines what the current step is and calls the appropriate method.<P><DD><DL><DT><B>Specified by:</B><DD><CODE>run</CODE> in interface <CODE>java.lang.Runnable</CODE><DT><B>Specified by:</B><DD><CODE><A HREF="Algorithm.html#run()">run</A></CODE> in class <CODE><A HREF="Algorithm.html" title="class in <Unnamed>">Algorithm</A></CODE></DL></DD><DD><DL></DL></DD></DL><HR><A NAME="generatePool()"><!-- --></A><H3>generatePool</H3><PRE>public void <B>generatePool</B>()</PRE><DL><DD>Collects all the data points of all the data sets<P><DD><DL></DL></DD></DL><HR><A NAME="generateMeans(int)"><!-- --></A><H3>generateMeans</H3><PRE>public void <B>generateMeans</B>(int numMeans)</PRE><DL><DD>Generates random initial guesses (means) for the data set<P><DD><DL><DT><B>Parameters:</B><DD><CODE>numMeans</CODE> - number of mean points</DL></DD></DL><HR><A NAME="initializeKmeans()"><!-- --></A><H3>initializeKmeans</H3><PRE>public void <B>initializeKmeans</B>()</PRE><DL><DD>Initializes the kmean array with the original data sets<P><DD><DL></DL></DD></DL><HR><A NAME="classify(DecisionRegion)"><!-- --></A><H3>classify</H3><PRE>public void <B>classify</B>(<A HREF="DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A> region)</PRE><DL><DD>Classifies the data sets based on the k-means iterative algorithm<P><DD><DL><DT><B>Parameters:</B><DD><CODE>region</CODE> - - stored data sets from the classification<DT><B>See Also:</B><DD><A HREF="DecisionRegion.html" title="class in <Unnamed>"><CODE>DecisionRegion</CODE></A></DL></DD></DL><HR><A NAME="computeMeans(DecisionRegion)"><!-- --></A><H3>computeMeans</H3><PRE>public void <B>computeMeans</B>(<A HREF="DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A> region)</PRE><DL><DD>Computes the means of the data sets after each iteraion<P><DD><DL><DT><B>Parameters:</B><DD><CODE>region</CODE> - - classified data sets<DT><B>See Also:</B><DD><A HREF="DecisionRegion.html" title="class in <Unnamed>"><CODE>DecisionRegion</CODE></A></DL></DD></DL><HR><A NAME="getClosestSet(MyPoint)"><!-- --></A><H3>getClosestSet</H3><PRE>public int <B>getClosestSet</B>(<A HREF="MyPoint.html" title="class in <Unnamed>">MyPoint</A> mean)</PRE><DL><DD>Determines the closest data sets to the cluster<P><DD><DL><DT><B>Parameters:</B><DD><CODE>mean</CODE> - mean point of the cluster<DT><B>Returns:</B><DD>closest data set to the cluster<DT><B>See Also:</B><DD><A HREF="MyPoint.html" title="class in <Unnamed>"><CODE>MyPoint</CODE></A></DL></DD></DL><HR><A NAME="displayClusterError(int, java.util.Vector, int)"><!-- --></A><H3>displayClusterError</H3><PRE>public int <B>displayClusterError</B>(int closest, java.util.Vector cluster, int id)</PRE><DL><DD>determines the number of points in error, i.e, not classified by finding the distance of the datapoints from the closest of the vector set<P><DD><DL><DT><B>Parameters:</B><DD><CODE>closest</CODE> - the data specifying which of the dataset is the closest.<DD><CODE>cluster</CODE> - the data points which form a closest cluster<DD><CODE>id</CODE> - unused in current implementation<DT><B>Returns:</B><DD>error number of data points which lie out of the classification</DL></DD></DL><HR><A NAME="getDecisionRegion(java.util.Vector)"><!-- --></A><H3>getDecisionRegion</H3><PRE>public java.util.Vector<<A HREF="MyPoint.html" title="class in <Unnamed>">MyPoint</A>> <B>getDecisionRegion</B>(java.util.Vector<<A HREF="MyPoint.html" title="class in <Unnamed>">MyPoint</A>> vec)</PRE><DL><DD>Computes the k-mean decision region - nearest neighbor algorithm<P><DD><DL><DT><B>Parameters:</B><DD><CODE>vec</CODE> - vector of initial guesses<DT><B>Returns:</B><DD>vector of desision region points</DL></DD></DL><HR><A NAME="outputDecisionRegion()"><!-- --></A><H3>outputDecisionRegion</H3><PRE>public void <B>outputDecisionRegion</B>()</PRE><DL><DD>displays the decision region on the output panel<P><DD><DL></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="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="AlgorithmED.html" title="class in <Unnamed>"><B>PREV CLASS</B></A> <A HREF="AlgorithmLBG.html" title="class in <Unnamed>"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="index.html?AlgorithmKMeans.html" target="_top"><B>FRAMES</B></A> <A HREF="AlgorithmKMeans.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | <A HREF="#field_summary">FIELD</A> | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: <A HREF="#field_detail">FIELD</A> | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_bottom"></A><!-- ======== END OF BOTTOM NAVBAR ======= --><HR></BODY></HTML>?? 快捷鍵說明
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