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	<title>JDMP&#187; Java Data Mining Package &#187; What analysis methods are supported?</title>
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		<title>What analysis methods are supported?</title>
		<link>http://www.jdmp.org/what-analysis-methods-are-supported/</link>
		<comments>http://www.jdmp.org/what-analysis-methods-are-supported/#comments</comments>
		<pubDate>Fri, 21 Nov 2008 20:41:22 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[FAQ]]></category>
		<category><![CDATA[Bayesian Networks]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Naive Bayes]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Regression]]></category>
		<category><![CDATA[Support Vector Machine]]></category>
		<category><![CDATA[Weka]]></category>

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		<description><![CDATA[JDMP has most analysis methods for classification tasks: We support Naive Bayes, Neural Networks and classification trough regression directly, Support Vector Machine through the LibSVM library and many more classifiers through the Weka machine learning package.
Bayesian Networks, clustering and optimization methods are still experimental. 
]]></description>
			<content:encoded><![CDATA[<p>JDMP has most analysis methods for classification tasks: We support Naive Bayes, Neural Networks and classification trough regression directly, Support Vector Machine through the <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/">LibSVM library</a> and many more classifiers through the <a href="http://www.cs.waikato.ac.nz/ml/weka/">Weka machine learning package</a>.<br />
Bayesian Networks, clustering and optimization methods are still experimental. </p>
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