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Clusterer (Java Machine Learning Library 0.0.11)
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net.sf.javaml.clustering</FONT>
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Interface Clusterer</H2>
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<DT><B>All Known Implementing Classes:</B> <DD><A HREF="../../../../net/sf/javaml/clustering/Ant.html" title="class in net.sf.javaml.clustering">Ant</A>, <A HREF="../../../../net/sf/javaml/clustering/AQBC.html" title="class in net.sf.javaml.clustering">AQBC</A>, <A HREF="../../../../net/sf/javaml/clustering/Cobweb.html" title="class in net.sf.javaml.clustering">Cobweb</A>, <A HREF="../../../../net/sf/javaml/clustering/DensityBasedSpatialClustering.html" title="class in net.sf.javaml.clustering">DensityBasedSpatialClustering</A>, <A HREF="../../../../net/sf/javaml/clustering/EMClustering.html" title="class in net.sf.javaml.clustering">EMClustering</A>, <A HREF="../../../../net/sf/javaml/clustering/FarthestFirst.html" title="class in net.sf.javaml.clustering">FarthestFirst</A>, <A HREF="../../../../net/sf/javaml/clustering/IterativeEMClustering.html" title="class in net.sf.javaml.clustering">IterativeEMClustering</A>, <A HREF="../../../../net/sf/javaml/clustering/IterativeFarthestFirst.html" title="class in net.sf.javaml.clustering">IterativeFarthestFirst</A>, <A HREF="../../../../net/sf/javaml/clustering/IterativeKMeans.html" title="class in net.sf.javaml.clustering">IterativeKMeans</A>, <A HREF="../../../../net/sf/javaml/clustering/IterativeMultiKMeans.html" title="class in net.sf.javaml.clustering">IterativeMultiKMeans</A>, <A HREF="../../../../net/sf/javaml/clustering/KMeans.html" title="class in net.sf.javaml.clustering">KMeans</A>, <A HREF="../../../../net/sf/javaml/clustering/KMedoids.html" title="class in net.sf.javaml.clustering">KMedoids</A>, <A HREF="../../../../net/sf/javaml/clustering/mcl/MCL.html" title="class in net.sf.javaml.clustering.mcl">MCL</A>, <A HREF="../../../../net/sf/javaml/clustering/MultiKMeans.html" title="class in net.sf.javaml.clustering">MultiKMeans</A>, <A HREF="../../../../net/sf/javaml/clustering/OPTICS.html" title="class in net.sf.javaml.clustering">OPTICS</A>, <A HREF="../../../../net/sf/javaml/clustering/SOM.html" title="class in net.sf.javaml.clustering">SOM</A>, <A HREF="../../../../net/sf/javaml/clustering/XMeans.html" title="class in net.sf.javaml.clustering">XMeans</A></DD>
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<DT><PRE>public interface <B>Clusterer</B></DL>
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A common interface for all clustering techniques. There is only one method that should be implemented.
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<DT><B>Author:</B></DT>
<DD>Thomas Abeel</DD>
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<CODE> <A HREF="../../../../net/sf/javaml/core/Dataset.html" title="interface in net.sf.javaml.core">Dataset</A>[]</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../net/sf/javaml/clustering/Clusterer.html#executeClustering(net.sf.javaml.core.Dataset)">executeClustering</A></B>(<A HREF="../../../../net/sf/javaml/core/Dataset.html" title="interface in net.sf.javaml.core">Dataset</A> data)</CODE>
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This method will execute the clustering algorithm on a particular dataset.</TD>
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<A NAME="executeClustering(net.sf.javaml.core.Dataset)"><!-- --></A><H3>
executeClustering</H3>
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<A HREF="../../../../net/sf/javaml/core/Dataset.html" title="interface in net.sf.javaml.core">Dataset</A>[] <B>executeClustering</B>(<A HREF="../../../../net/sf/javaml/core/Dataset.html" title="interface in net.sf.javaml.core">Dataset</A> data)</PRE>
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<DD>This method will execute the clustering algorithm on a particular dataset. The result will be an array of Dataset where each dataset is a cluster.
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<DT><B>Parameters:</B><DD><CODE>data</CODE> - the dataset on which to execute the clustering.
<DT><B>Returns:</B><DD>the different clusters obtained by this clustering algorithm. Each cluster is represented as a seperate dataset.</DL>
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