<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: K-means clustering implementation in JAVA</title>
	<atom:link href="http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/</link>
	<description>Random thoughts, problems and solutions</description>
	<lastBuildDate>Mon, 06 Feb 2012 10:12:49 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
	<item>
		<title>By: Akash</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-1394</link>
		<dc:creator>Akash</dc:creator>
		<pubDate>Wed, 07 Dec 2011 07:47:18 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-1394</guid>
		<description>Thanks..!</description>
		<content:encoded><![CDATA[<p>Thanks..!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Patrick van Kouteren</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-1393</link>
		<dc:creator>Patrick van Kouteren</dc:creator>
		<pubDate>Wed, 07 Dec 2011 06:52:27 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-1393</guid>
		<description>Akash,

This code is not runnable directly as it doesn&#039;t contain a main method. You can use the code in the referred blogpost in your existing application.
If you&#039;d like to compile the whole code (containing K-Means clustering and some more operations) you can download the Ispe development source code on my downloads page.

Cheers,

Patrick</description>
		<content:encoded><![CDATA[<p>Akash,</p>
<p>This code is not runnable directly as it doesn&#8217;t contain a main method. You can use the code in the referred blogpost in your existing application.<br />
If you&#8217;d like to compile the whole code (containing K-Means clustering and some more operations) you can download the Ispe development source code on my downloads page.</p>
<p>Cheers,</p>
<p>Patrick</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Akash</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-1389</link>
		<dc:creator>Akash</dc:creator>
		<pubDate>Tue, 06 Dec 2011 08:08:08 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-1389</guid>
		<description>How to compile this code?????</description>
		<content:encoded><![CDATA[<p>How to compile this code?????</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: deepak</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-1004</link>
		<dc:creator>deepak</dc:creator>
		<pubDate>Fri, 25 Mar 2011 09:55:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-1004</guid>
		<description>can anybody guide me on how to go about implementing BIRCh clustering algo....I tried googling but wasnt able to come up with a solution....any help would be appreciated</description>
		<content:encoded><![CDATA[<p>can anybody guide me on how to go about implementing BIRCh clustering algo&#8230;.I tried googling but wasnt able to come up with a solution&#8230;.any help would be appreciated</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Patrick</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-985</link>
		<dc:creator>Patrick</dc:creator>
		<pubDate>Sun, 20 Mar 2011 10:41:30 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-985</guid>
		<description>Kiran,

Please formulate your exact question. I cannot see how far you already are with your issue.
What kind of info do you have?

As an example:
Let&#039;s say you have information on top speed of your car dataset. By setting your K to 2, you will end up with two clusters of cars.
In a more concrete way: if the top speeds range from 120 to 240 miles per hour, with a traditional K-Means clustering and a K of 2, you will end up with the following two clusters:
Cluster 1: top speeds from 120 to 180
Cluster 2: top speeds from 180 to 240

Adaptive K-Means clustering would try to find the best K for your dataset. In contrary to traditional K-Means clustering, it actually looks at, and uses the data to determine the optimal K.</description>
		<content:encoded><![CDATA[<p>Kiran,</p>
<p>Please formulate your exact question. I cannot see how far you already are with your issue.<br />
What kind of info do you have?</p>
<p>As an example:<br />
Let&#8217;s say you have information on top speed of your car dataset. By setting your K to 2, you will end up with two clusters of cars.<br />
In a more concrete way: if the top speeds range from 120 to 240 miles per hour, with a traditional K-Means clustering and a K of 2, you will end up with the following two clusters:<br />
Cluster 1: top speeds from 120 to 180<br />
Cluster 2: top speeds from 180 to 240</p>
<p>Adaptive K-Means clustering would try to find the best K for your dataset. In contrary to traditional K-Means clustering, it actually looks at, and uses the data to determine the optimal K.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: kiran</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-982</link>
		<dc:creator>kiran</dc:creator>
		<pubDate>Sat, 19 Mar 2011 08:28:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-982</guid>
		<description>hey patrick i m pleased with your code bt i need d for k-means clustering for data sets say havg the info of vechicles so giv some basic idea to start with plz help me out i need do it for adaptive k -means toooooooooo so plz</description>
		<content:encoded><![CDATA[<p>hey patrick i m pleased with your code bt i need d for k-means clustering for data sets say havg the info of vechicles so giv some basic idea to start with plz help me out i need do it for adaptive k -means toooooooooo so plz</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Patrick</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-945</link>
		<dc:creator>Patrick</dc:creator>
		<pubDate>Wed, 09 Mar 2011 08:14:27 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-945</guid>
		<description>Well.. yes, it seems obvious that k-means clustering is a particular operation, so I placed in a package actions.

You could of course just pick both classes and place them into your own code / package hierarchy. Basically you need only those two classes. Just make sure that you specify the path to these classes according to where you&#039;ve placed them.

Then just perform the operation on a BufferedImage like so:

action = new KMeansAction(BufferedImage image, int bins, int[]histogram, int initway);
result = action.getResultImage();

in which result will contain the resulting BufferedImage.</description>
		<content:encoded><![CDATA[<p>Well.. yes, it seems obvious that k-means clustering is a particular operation, so I placed in a package actions.</p>
<p>You could of course just pick both classes and place them into your own code / package hierarchy. Basically you need only those two classes. Just make sure that you specify the path to these classes according to where you&#8217;ve placed them.</p>
<p>Then just perform the operation on a BufferedImage like so:</p>
<p>action = new KMeansAction(BufferedImage image, int bins, int[]histogram, int initway);<br />
result = action.getResultImage();</p>
<p>in which result will contain the resulting BufferedImage.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: dharma</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-944</link>
		<dc:creator>dharma</dc:creator>
		<pubDate>Tue, 08 Mar 2011 18:06:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-944</guid>
		<description>Dear sir..
sorry for disturbing again...
u have mentioned in both the programs the package name as actions...then&#039;

wht i can do.

or 
can i create new class and importing the two packages which is contains KMeansAction and ClusterClass...

help me..please..

v vvvvvvvvvvv urgent ...</description>
		<content:encoded><![CDATA[<p>Dear sir..<br />
sorry for disturbing again&#8230;<br />
u have mentioned in both the programs the package name as actions&#8230;then&#8217;</p>
<p>wht i can do.</p>
<p>or<br />
can i create new class and importing the two packages which is contains KMeansAction and ClusterClass&#8230;</p>
<p>help me..please..</p>
<p>v vvvvvvvvvvv urgent &#8230;</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: dharma</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-940</link>
		<dc:creator>dharma</dc:creator>
		<pubDate>Mon, 07 Mar 2011 15:46:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-940</guid>
		<description>Dear sir .

thanks for ur reply..
i have saved in KMeanAction which is class name ..

but it will give error ...

Exeception thread &quot;main&quot; NoClassDefFoundError..

i think that means Class KMeanAction doesnt defined..

please reply me soon sir,,,,

or tell me the correct way to do that procedures..
1. in what name i want to save ...
2.where i put the cluster class code..
3.how to give the input...</description>
		<content:encoded><![CDATA[<p>Dear sir .</p>
<p>thanks for ur reply..<br />
i have saved in KMeanAction which is class name ..</p>
<p>but it will give error &#8230;</p>
<p>Exeception thread &#8220;main&#8221; NoClassDefFoundError..</p>
<p>i think that means Class KMeanAction doesnt defined..</p>
<p>please reply me soon sir,,,,</p>
<p>or tell me the correct way to do that procedures..<br />
1. in what name i want to save &#8230;<br />
2.where i put the cluster class code..<br />
3.how to give the input&#8230;</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Patrick</title>
		<link>http://www.vankouteren.eu/blog/2007/10/k-means-clustering-implementation-in-java/#comment-939</link>
		<dc:creator>Patrick</dc:creator>
		<pubDate>Mon, 07 Mar 2011 10:48:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.vankouteren.eu/blog/?p=5#comment-939</guid>
		<description>dharma,

Please reply in the appropriate topic (in which you&#039;ve posted earlier). The error you supply is completely generic. I can&#039;t relate it directly to the code supplied with these posts.
Apparently some class definition is missing. Please check if all classes are defined correctly.

Cheers,

Patrick</description>
		<content:encoded><![CDATA[<p>dharma,</p>
<p>Please reply in the appropriate topic (in which you&#8217;ve posted earlier). The error you supply is completely generic. I can&#8217;t relate it directly to the code supplied with these posts.<br />
Apparently some class definition is missing. Please check if all classes are defined correctly.</p>
<p>Cheers,</p>
<p>Patrick</p>
]]></content:encoded>
	</item>
</channel>
</rss>

