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	<title>Comments on: What Do You Mean By Close?</title>
	<atom:link href="http://nklein.com/2009/05/what-do-you-mean-by-close/feed/" rel="self" type="application/rss+xml" />
	<link>http://nklein.com/2009/05/what-do-you-mean-by-close/</link>
	<description>software development and consulting</description>
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		<title>By: pat</title>
		<link>http://nklein.com/2009/05/what-do-you-mean-by-close/comment-page-1/#comment-58</link>
		<dc:creator>pat</dc:creator>
		<pubDate>Mon, 18 May 2009 22:10:20 +0000</pubDate>
		<guid isPermaLink="false">http://nklein.com/?p=387#comment-58</guid>
		<description>Yes... I accidentally did set up the integral incorrectly at first to answer the random-point to random-point question.  It does work out to be the distance between centroids.  As such, it&#039;s not terribly tough to calculate.  But, I&#039;m liking the idea of toying with non-symmetric distance.

It can&#039;t be uphill both ways.... :)</description>
		<content:encoded><![CDATA[<p>Yes&#8230; I accidentally did set up the integral incorrectly at first to answer the random-point to random-point question.  It does work out to be the distance between centroids.  As such, it&#8217;s not terribly tough to calculate.  But, I&#8217;m liking the idea of toying with non-symmetric distance.</p>
<p>It can&#8217;t be uphill both ways&#8230;. <img src='http://nklein.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
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		<title>By: John Armstrong</title>
		<link>http://nklein.com/2009/05/what-do-you-mean-by-close/comment-page-1/#comment-57</link>
		<dc:creator>John Armstrong</dc:creator>
		<pubDate>Mon, 18 May 2009 21:58:01 +0000</pubDate>
		<guid isPermaLink="false">http://nklein.com/?p=387#comment-57</guid>
		<description>If you&#039;re allowing random points in the starting state, why restrict to the nearest point in the ending state?  Why not take the average distance from a random point in the starting state to a random point in the ending state?

This has two advantages.  First, the resulting function is symmetric.  Second, the integrals should be easier to set up and work out.

I&#039;m not sure, but a first guess would be that this works out to be controlled by the distances between the centroids.  Obvious problems with that would be extremely nonconvex states, but I don&#039;t think we have any that are that bad.</description>
		<content:encoded><![CDATA[<p>If you&#8217;re allowing random points in the starting state, why restrict to the nearest point in the ending state?  Why not take the average distance from a random point in the starting state to a random point in the ending state?</p>
<p>This has two advantages.  First, the resulting function is symmetric.  Second, the integrals should be easier to set up and work out.</p>
<p>I&#8217;m not sure, but a first guess would be that this works out to be controlled by the distances between the centroids.  Obvious problems with that would be extremely nonconvex states, but I don&#8217;t think we have any that are that bad.</p>
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		<title>By: pat</title>
		<link>http://nklein.com/2009/05/what-do-you-mean-by-close/comment-page-1/#comment-56</link>
		<dc:creator>pat</dc:creator>
		<pubDate>Mon, 18 May 2009 21:35:14 +0000</pubDate>
		<guid isPermaLink="false">http://nklein.com/?p=387#comment-56</guid>
		<description>That&#039;d be my guess, too.  When I started trying to write down an integral for this notion of closeness, I accidentally started with the symmetric version you mention here.

I haven&#039;t done much with metrics and measure in a long time and nothing beyond undergraduate-level metrics at all.  I am interested in toying with them now though to see what breaks if any of the requirements are violated.  I know some of the things that go wrong if the triangle inequality doesn&#039;t hold.  But, I never messed with symmetry before.</description>
		<content:encoded><![CDATA[<p>That&#8217;d be my guess, too.  When I started trying to write down an integral for this notion of closeness, I accidentally started with the symmetric version you mention here.</p>
<p>I haven&#8217;t done much with metrics and measure in a long time and nothing beyond undergraduate-level metrics at all.  I am interested in toying with them now though to see what breaks if any of the requirements are violated.  I know some of the things that go wrong if the triangle inequality doesn&#8217;t hold.  But, I never messed with symmetry before.</p>
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		<title>By: Michael Lugo</title>
		<link>http://nklein.com/2009/05/what-do-you-mean-by-close/comment-page-1/#comment-54</link>
		<dc:creator>Michael Lugo</dc:creator>
		<pubDate>Mon, 18 May 2009 21:12:01 +0000</pubDate>
		<guid isPermaLink="false">http://nklein.com/?p=387#comment-54</guid>
		<description>That&#039;s an interesting way of reinterpreting my question.  One way to do something like your distance, but symmetric, would be to say that the distance between state A and state B is the average distance between a random point in state A and a random point in state B.

In this case, determining the answer to the question &quot;which two states are closest together?&quot; is much more difficult.  But it&#039;s clear that one wants two small states which border each other; my guess is Connecticut-Rhode Island.</description>
		<content:encoded><![CDATA[<p>That&#8217;s an interesting way of reinterpreting my question.  One way to do something like your distance, but symmetric, would be to say that the distance between state A and state B is the average distance between a random point in state A and a random point in state B.</p>
<p>In this case, determining the answer to the question &#8220;which two states are closest together?&#8221; is much more difficult.  But it&#8217;s clear that one wants two small states which border each other; my guess is Connecticut-Rhode Island.</p>
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