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+<html>
+<head>
+<title>
+Netlab Reference Manual gmmsamp
+</title>
+</head>
+<body>
+<H1> gmmsamp
+</H1>
+<h2>
+Purpose
+</h2>
+Sample from a Gaussian mixture distribution.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+data = gmmsamp(mix, n)
+[data, label] = gmmsamp(mix, n)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+
+<p><CODE>data = gsamp(mix, n)</CODE> generates a sample of size <CODE>n</CODE> from a
+Gaussian mixture distribution defined by the <CODE>mix</CODE> data
+structure. The matrix <CODE>x</CODE> has <CODE>n</CODE>
+rows in which each row represents a <CODE>mix.nin</CODE>-dimensional sample vector.
+
+<p><CODE>[data, label] = gmmsamp(mix, n)</CODE> also returns a column vector of
+classes (as an index 1..N) <CODE>label</CODE>.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="gsamp.htm">gsamp</a></CODE>, <CODE><a href="gmm.htm">gmm</a></CODE><hr>
+<b>Pages:</b>
+<a href="index.htm">Index</a>
+<hr>
+<p>Copyright (c) Ian T Nabney (1996-9)
+
+
+</body>
+</html>
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