Mercurial > hg > camir-aes2014
diff toolboxes/FullBNT-1.0.7/nethelp3.3/pca.htm @ 0:e9a9cd732c1e tip
first hg version after svn
| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/nethelp3.3/pca.htm Tue Feb 10 15:05:51 2015 +0000 @@ -0,0 +1,51 @@ +<html> +<head> +<title> +Netlab Reference Manual pca +</title> +</head> +<body> +<H1> pca +</H1> +<h2> +Purpose +</h2> +Principal Components Analysis + +<p><h2> +Synopsis +</h2> +<PRE> +PCcoeff = pca(data) +PCcoeff = pca(data, N) +[PCcoeff, PCvec] = pca(data) +</PRE> + + +<p><h2> +Description +</h2> + +<CODE>PCcoeff = pca(data)</CODE> computes the eigenvalues of the covariance +matrix of the dataset <CODE>data</CODE> and returns them as <CODE>PCcoeff</CODE>. These +coefficients give the variance of <CODE>data</CODE> along the corresponding +principal components. + +<p><CODE>PCcoeff = pca(data, N)</CODE> returns the largest <CODE>N</CODE> eigenvalues. + +<p><CODE>[PCcoeff, PCvec] = pca(data)</CODE> returns the principal components as +well as the coefficients. This is considerably more computationally +demanding than just computing the eigenvalues. + +<p><h2> +See Also +</h2> +<CODE><a href="eigdec.htm">eigdec</a></CODE>, <CODE><a href="gtminit.htm">gtminit</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> \ No newline at end of file