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| author | ziejd2 | 2018-03-14 23:23:33 -0500 |
|---|---|---|
| committer | GitHub | 2018-03-14 23:23:33 -0500 |
| commit | 1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch) | |
| tree | e0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/nethelp3.3/ppca.htm | |
| parent | 6882395afdadf4e982b25b5215071a0932730950 (diff) | |
| parent | c80226899f5cdd9f11c163817d59445213f5bef0 (diff) | |
| download | BNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz | |
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/nethelp3.3/ppca.htm')
| -rw-r--r-- | sourcecodes/bnt-master/nethelp3.3/ppca.htm | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/nethelp3.3/ppca.htm b/sourcecodes/bnt-master/nethelp3.3/ppca.htm new file mode 100644 index 00000000..b55a61c4 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/ppca.htm @@ -0,0 +1,46 @@ +<html> +<head> +<title> +Netlab Reference Manual ppca +</title> +</head> +<body> +<H1> ppca +</H1> +<h2> +Purpose +</h2> +Probabilistic Principal Components Analysis + +<p><h2> +Synopsis +</h2> +<PRE> +[var, U, lambda] = pca(x, ppca_dim) +</PRE> + + +<p><h2> +Description +</h2> + +<CODE>[var, U, lambda] = ppca(x, ppca_dim)</CODE> computes the principal component +subspace <CODE>U</CODE> of dimension <CODE>ppca_dim</CODE> using a centred +covariance matrix <CODE>x</CODE>. The variable <CODE>var</CODE> contains +the off-subspace variance (which is assumed to be spherical), while the +vector <CODE>lambda</CODE> contains the variances of each of the principal +components. This is computed using the eigenvalue and eigenvector +decomposition of <CODE>x</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="eigdec.htm">eigdec</a></CODE>, <CODE><a href="pca.htm">pca</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 |