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+<html>
+<head>
+<title>
+Netlab Reference Manual eigdec
+</title>
+</head>
+<body>
+<H1> eigdec
+</H1>
+<h2>
+Purpose
+</h2>
+Sorted eigendecomposition
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+evals = eigdec(x, N)
+[evals, evec] = eigdec(x, N)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+
+<CODE>evals = eigdec(x, N</CODE> computes the largest <CODE>N</CODE> eigenvalues of the 
+matrix <CODE>x</CODE> in descending order.  <CODE>[evals, evec] = eigdec(x, N)</CODE>
+also computes the corresponding eigenvectors.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="pca.htm">pca</a></CODE>, <CODE><a href="ppca.htm">ppca</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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