📄 randn2.html

📁 一个关于数据聚类和模式识别的程序,在生物化学,化学中因该都可以用到.希望对大家有用,谢谢支持
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"                "http://www.w3.org/TR/REC-html40/loose.dtd"><html><head>  <title>Description of randn2</title>  <meta name="keywords" content="randn2">  <meta name="description" content="RANDN2	2D Gaussian random samples with mean 0 and variance 1">  <meta http-equiv="Content-Type" content="text/html; charset=big5">  <meta name="generator" content="m2html &copy; 2003 Guillaume Flandin">  <meta name="robots" content="index, follow">  <link type="text/css" rel="stylesheet" href="../m2html.css"></head><body><a name="_top"></a><div><a href="../index.html">Home</a> &gt;  <a href="index.html">dcpr</a> &gt; randn2.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png">&nbsp;Master index</a></td><td align="right"><a href="index.html">Index for dcpr&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>randn2</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>RANDN2	2D Gaussian random samples with mean 0 and variance 1</strong></div><h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>function z = randn2(n) </strong></div><h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre class="comment">RANDN2    2D Gaussian random samples with mean 0 and variance 1
    Usage: OUT=RANDN2(N)
        OUT is an N-by-2 matrix of points drawn from a 2D gaussian
        distribution with mean 0 and variance 1.</pre></div><!-- crossreference --><h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>This function calls:<ul style="list-style-image:url(../matlabicon.gif)"></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="dcData.html" class="code" title="function DS = dcdata(dataID)">dcData</a>	DCDATA Test data sets for data clustering (no class label).</li></ul><!-- crossreference --><h2><a name="_subfunctions"></a>SUBFUNCTIONS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><ul style="list-style-image:url(../matlabicon.gif)"><li><a href="#_sub1" class="code">function selfdemo</a></li></ul><h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre>0001 <a name="_sub0" href="#_subfunctions" class="code">function z = randn2(n)</a>0002 <span class="comment">%RANDN2    2D Gaussian random samples with mean 0 and variance 1</span>0003 <span class="comment">%    Usage: OUT=RANDN2(N)</span>0004 <span class="comment">%        OUT is an N-by-2 matrix of points drawn from a 2D gaussian</span>0005 <span class="comment">%        distribution with mean 0 and variance 1.</span>0006 0007 <span class="keyword">if</span> nargin==0, <a href="#_sub1" class="code" title="subfunction selfdemo">selfdemo</a>; <span class="keyword">return</span>; <span class="keyword">end</span>0008 0009 r = randn(n,1);0010 phi = rand(n,1)*2*pi;0011 0012 x = r.*cos(phi);0013 y = r.*sin(phi);0014 0015 z = [x, y];0016 0017 <a name="_sub1" href="#_subfunctions" class="code">function selfdemo</a>0018 z = feval(mfilename, 500);0019 plot(z(:,1), z(:,2), <span class="string">'o'</span>);</pre></div><hr><address>Generated on Thu 30-Oct-2008 12:53:56 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/">m2html</a></strong> &copy; 2003</address></body></html>
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