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	<title>Thread:User talk:Jmb/Welcome/reply (16) - Revision history</title>
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	<updated>2026-04-25T08:17:03Z</updated>
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		<id>http://robowiki.net/w/index.php?title=Thread:User_talk:Jmb/Welcome/reply_(16)&amp;diff=25007&amp;oldid=prev</id>
		<title>Skilgannon: Reply to Welcome</title>
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		<updated>2012-06-17T12:32:02Z</updated>

		<summary type="html">&lt;p&gt;Reply to &lt;a href=&quot;/wiki/Thread:User_talk:Jmb/Welcome/reply_(9)&quot; title=&quot;Thread:User talk:Jmb/Welcome/reply (9)&quot;&gt;Welcome&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;My thoughts with this actually went more in a process-after-extracting-cluster type algorithm for KNN in order to accurately interpolate what value to shoot at given a set of adjacent-in-n-space values. I think it would be much better than weighting scans by 1/distance or whatever other weighting scheme gets used, as the noise could be eliminated based on location instead of distance and only the trends would be chosen, much like how a histogram allows one to select the highest peak rather than just taking the mean of all the scans. I think it would require fairly large clusters (200 or so points at least), but it could net fairly large gains against the right data patterns.&lt;/div&gt;</summary>
		<author><name>Skilgannon</name></author>
		
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