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> <channel><title>Comments on: Dimensionality reduction: Isomap</title> <atom:link href="http://matt.eifelle.com/2008/01/25/dimensionality-reduction-isomap/feed/" rel="self" type="application/rss+xml" /><link>http://matt.eifelle.com/2008/01/25/dimensionality-reduction-isomap/</link> <description></description> <lastBuildDate>Tue, 27 Jul 2010 10:39:22 +0200</lastBuildDate> <generator>http://wordpress.org/?v=2.9.1</generator> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <item><title>By: Matt&#8217;s blog &#187; Dimensionality reduction: comparison of different methods</title><link>http://matt.eifelle.com/2008/01/25/dimensionality-reduction-isomap/comment-page-1/#comment-449</link> <dc:creator>Matt&#8217;s blog &#187; Dimensionality reduction: comparison of different methods</dc:creator> <pubDate>Wed, 23 Apr 2008 07:16:59 +0000</pubDate> <guid
isPermaLink="false">http://matt_temp.eifelle.com/item/13#comment-449</guid> <description>[...] already given some answers in one of my first tickets on manifold learning. Here I will give some more complete results on the quality of the dimensionality reduction [...]</description> <content:encoded><![CDATA[<p>[...] already given some answers in one of my first tickets on manifold learning. Here I will give some more complete results on the quality of the dimensionality reduction [...]</p> ]]></content:encoded> </item> <item><title>By: Matt&#8217;s blog &#187; Dimensionality reduction: explicit optimization of a cost function</title><link>http://matt.eifelle.com/2008/01/25/dimensionality-reduction-isomap/comment-page-1/#comment-18</link> <dc:creator>Matt&#8217;s blog &#187; Dimensionality reduction: explicit optimization of a cost function</dc:creator> <pubDate>Wed, 02 Apr 2008 07:16:08 +0000</pubDate> <guid
isPermaLink="false">http://matt_temp.eifelle.com/item/13#comment-18</guid> <description>[...] on Euclidien distances, I implemented it with the approximated geodesic distances described in the Isomap ticket. The goal of this function is to add a weight (the inverse of the geodesic distance), leading to [...]</description> <content:encoded><![CDATA[<p>[...] on Euclidien distances, I implemented it with the approximated geodesic distances described in the Isomap ticket. The goal of this function is to add a weight (the inverse of the geodesic distance), leading to [...]</p> ]]></content:encoded> </item> </channel> </rss>
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