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    <description>recent bookmarks from shivak</description>
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    <title>Importing the Szemerédi Regularity Lemma into Machine Learning « Onionesque Reality</title>
    <dc:date>2012-01-10T17:28:33+00:00</dc:date>
    <link>http://onionesquereality.wordpress.com/2012/01/07/importing-the-szemeredi-regularity-lemma-into-machine-learning/</link>
    <dc:creator>shivak</dc:creator><dc:subject>combinatorics clustering</dc:subject>
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    <title>Electrical Flows and Laplacian Systems: A New Tool for Graph Algorithms</title>
    <dc:date>2011-11-28T06:21:47+00:00</dc:date>
    <link>http://research.microsoft.com/apps/video/default.aspx?id=144625&amp;l=i</link>
    <dc:creator>shivak</dc:creator><description><![CDATA[Saw it in person, but perhaps I should view it again.]]></description>
<dc:subject>spectral_methods clustering flows videos lectures to_view</dc:subject>
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<dc:identifier>https://pinboard.in/u:shivak/b:654a000ddcb5/</dc:identifier>
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    <title>A unified framework for approximating and clustering data</title>
    <dc:date>2011-10-05T08:02:12+00:00</dc:date>
    <link>https://dl.acm.org/citation.cfm?id=1993712&amp;CFID=45731595&amp;CFTOKEN=38460696</link>
    <dc:creator>shivak</dc:creator><description><![CDATA[Coresets.]]></description>
<dc:subject>to_view videos clustering</dc:subject>
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<dc:identifier>https://pinboard.in/u:shivak/b:febc8be9816c/</dc:identifier>
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    <title>Clustering stability: an overview</title>
    <dc:date>2010-07-14T06:58:41+00:00</dc:date>
    <link>http://arxiv.org/abs/1007.1075</link>
    <dc:creator>shivak</dc:creator><description><![CDATA[Very gentle survey.
]]></description>
<dc:subject>clustering surveys stability teaching</dc:subject>
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    <title>Choosing the number of clusters I: The Elbow Method</title>
    <dc:date>2010-03-08T18:39:26+00:00</dc:date>
    <link>http://geomblog.blogspot.com/2010/03/this-is-part-of-occasional-series-of.html</link>
    <dc:creator>shivak</dc:creator><dc:subject>clustering regularization venkat suresh</dc:subject>
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    <title>Mixture models: clustering or density estimation</title>
    <dc:date>2009-03-04T00:19:57+00:00</dc:date>
    <link>http://nlpers.blogspot.com/2009/03/mixture-models-clustering-or-density.html</link>
    <dc:creator>shivak</dc:creator><description><![CDATA[Yes, there are two ways a mixture model can be non-identifiable. What's your point about clustering?
]]></description>
<dc:subject>identifiability clustering machine_learning huh?</dc:subject>
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