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head 1.1;access;symbols;locks; strict;comment @# @;1.1date 2005.06.05.06.30.35; author picone; state Exp;branches;next ;desc@updated links for the new CAVS web site.@1.1log@temp.text@text@<!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_03) on Fri Jun 03 16:24:21 CDT 2005 --><TITLE>Covariance</TITLE><META NAME="keywords" CONTENT="Covariance class"><LINK REL ="stylesheet" TYPE="text/css" HREF="stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="Covariance";}</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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CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="Classify.html" title="class in <Unnamed>"><B>PREV CLASS</B></A> <A HREF="DataPoints.html" title="class in <Unnamed>"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="index.html?Covariance.html" target="_top"><B>FRAMES</B></A> <A HREF="Covariance.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 | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2>Class Covariance</H2><PRE>java.lang.Object <IMG SRC="./resources/inherit.gif" ALT="extended by "><B>Covariance</B></PRE><HR><DL><DT><PRE>public class <B>Covariance</B><DT>extends java.lang.Object</DL></PRE><P>Covariance as the name sggests computes the covariance matrix given two random vectors i.e., the X = (x1, x2, x3 ...) and Y = (y1, y2, y3 ...)<P><P><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="Covariance.html#Covariance()">Covariance</A></B>()</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="Covariance.html#computeCovariance(double[], double[])">computeCovariance</A></B>(double[] x, double[] y)</CODE><BR> computes the covariance matrix given two discrete random variables</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="Covariance.html#normalizeCovariance(double[][])">normalizeCovariance</A></B>(double[][] M)</CODE><BR> The method normalizes the covariance matrix based on the the range of the values within the covariance matrix</TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ========= 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="Covariance()"><!-- --></A><H3>Covariance</H3><PRE>public <B>Covariance</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="normalizeCovariance(double[][])"><!-- --></A><H3>normalizeCovariance</H3><PRE>public void <B>normalizeCovariance</B>(double[][] M)</PRE><DL><DD>The method normalizes the covariance matrix based on the the range of the values within the covariance matrix<P><DD><DL><DT><B>Parameters:</B><DD><CODE>M</CODE> - covariance matrix</DL></DD></DL><HR><A NAME="computeCovariance(double[], double[])"><!-- --></A><H3>computeCovariance</H3><PRE>public double[][] <B>computeCovariance</B>(double[] x, double[] y)</PRE><DL><DD>computes the covariance matrix given two discrete random variables<P><DD><DL><DT><B>Parameters:</B><DD><CODE>x</CODE> - random vector X = (x1, x2, x3 ...)<DD><CODE>y</CODE> - random vector Y = (y1, y2, y3 ...)<DT><B>Returns:</B><DD>covariance matrix</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ======= 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