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	<title>Comments on: Dimensionality reduction: comparison of different methods</title>
	<atom:link href="http://matt.eifelle.com/2008/04/23/dimensionality-reduction-comparison-of-different-methods/feed/" rel="self" type="application/rss+xml" />
	<link>http://matt.eifelle.com/2008/04/23/dimensionality-reduction-comparison-of-different-methods/</link>
	<description></description>
	<pubDate>Thu, 07 Aug 2008 23:58:09 +0000</pubDate>
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		<item>
		<title>By: Matt</title>
		<link>http://matt.eifelle.com/2008/04/23/dimensionality-reduction-comparison-of-different-methods/#comment-1424</link>
		<dc:creator>Matt</dc:creator>
		<pubDate>Wed, 18 Jun 2008 05:54:29 +0000</pubDate>
		<guid isPermaLink="false">http://matt.eifelle.com/?p=48#comment-1424</guid>
		<description>Hi !

I will post another blog ticket in a few days (after my small holidays), because 99% of the code is already available as a subpart of a scikit. So you can use my code, give me some feedback, ... before I make the official announcement.
There is a small tutorial here: http://scipy.org/scipy/scikits/wiki/MachineLearning/ManifoldLearning

Thanks for the comment !</description>
		<content:encoded><![CDATA[<p>Hi !</p>
<p>I will post another blog ticket in a few days (after my small holidays), because 99% of the code is already available as a subpart of a scikit. So you can use my code, give me some feedback, &#8230; before I make the official announcement.<br />
There is a small tutorial here: <a href="http://scipy.org/scipy/scikits/wiki/MachineLearning/ManifoldLearning" rel="nofollow">http://scipy.org/scipy/scikits/wiki/MachineLearning/ManifoldLearning</a></p>
<p>Thanks for the comment !</p>
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	<item>
		<title>By: lousjiang</title>
		<link>http://matt.eifelle.com/2008/04/23/dimensionality-reduction-comparison-of-different-methods/#comment-1423</link>
		<dc:creator>lousjiang</dc:creator>
		<pubDate>Wed, 18 Jun 2008 03:12:37 +0000</pubDate>
		<guid isPermaLink="false">http://matt.eifelle.com/?p=48#comment-1423</guid>
		<description>Thank you for your article and I find it of great value in my current research area, but I am new in this field, 
so I am wondering if you can sent a copy of the codes about  this
 article(Dimensionality reduction: comparison of different methods), I really appreciate that.
  and here is my Email:  lousongjiang@hotmail.com,  thank you</description>
		<content:encoded><![CDATA[<p>Thank you for your article and I find it of great value in my current research area, but I am new in this field,<br />
so I am wondering if you can sent a copy of the codes about  this<br />
 article(Dimensionality reduction: comparison of different methods), I really appreciate that.<br />
  and here is my Email:  <a href="mailto:lousongjiang@hotmail.com">lousongjiang@hotmail.com</a>,  thank you</p>
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