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OPTICS (Java Machine Learning Library 0.0.11)
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net.sf.javaml.clustering</FONT>
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Class OPTICS</H2>
<PRE>
java.lang.Object
<IMG SRC="../../../../resources/inherit.gif" ALT="extended by "><B>net.sf.javaml.clustering.OPTICS</B>
</PRE>
<DL>
<DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../../net/sf/javaml/clustering/Clusterer.html" title="interface in net.sf.javaml.clustering">Clusterer</A></DD>
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<DT><PRE>public class <B>OPTICS</B><DT>extends java.lang.Object<DT>implements <A HREF="../../../../net/sf/javaml/clustering/Clusterer.html" title="interface in net.sf.javaml.clustering">Clusterer</A></DL>
</PRE>
<P>
Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD International Conference on Management of Data, 49-60, 1999. <p/> TODO clean implementation of different types of queue and object in those queues, the code should compile without warnings. XXX add references XXX add pseudocode
<P>
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<DL>
<DT><B>Author:</B></DT>
<DD>Matthias Schubert (schubert@dbs.ifi.lmu.de), Zhanna Melnikova-Albrecht (melnikov@cip.ifi.lmu.de), Rainer Holzmann (holzmann@cip.ifi.lmu.de), Thomas Abeel</DD>
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<TD><CODE><B><A HREF="../../../../net/sf/javaml/clustering/OPTICS.html#OPTICS()">OPTICS</A></B>()</CODE>
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XXX doc default constructor</TD>
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<TD><CODE><B><A HREF="../../../../net/sf/javaml/clustering/OPTICS.html#OPTICS(double, int)">OPTICS</A></B>(double epsilon,
int minPoints)</CODE>
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XXX doc</TD>
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<TD><CODE><B><A HREF="../../../../net/sf/javaml/clustering/OPTICS.html#OPTICS(double, int, net.sf.javaml.distance.DistanceMeasure)">OPTICS</A></B>(double epsilon,
int minPoints,
<A HREF="../../../../net/sf/javaml/distance/DistanceMeasure.html" title="interface in net.sf.javaml.distance">DistanceMeasure</A> dm)</CODE>
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XXX doc</TD>
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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/OPTICS.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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<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
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<A NAME="OPTICS()"><!-- --></A><H3>
OPTICS</H3>
<PRE>
public <B>OPTICS</B>()</PRE>
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<DD>XXX doc default constructor
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<A NAME="OPTICS(double, int)"><!-- --></A><H3>
OPTICS</H3>
<PRE>
public <B>OPTICS</B>(double epsilon,
int minPoints)</PRE>
<DL>
<DD>XXX doc
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<DL>
<DT><B>Parameters:</B><DD><CODE>epsilon</CODE> - <DD><CODE>minPoints</CODE> - </DL>
</DL>
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<A NAME="OPTICS(double, int, net.sf.javaml.distance.DistanceMeasure)"><!-- --></A><H3>
OPTICS</H3>
<PRE>
public <B>OPTICS</B>(double epsilon,
int minPoints,
<A HREF="../../../../net/sf/javaml/distance/DistanceMeasure.html" title="interface in net.sf.javaml.distance">DistanceMeasure</A> dm)</PRE>
<DL>
<DD>XXX doc
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>epsilon</CODE> - <DD><CODE>minPoints</CODE> - <DD><CODE>dm</CODE> - </DL>
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<A NAME="executeClustering(net.sf.javaml.core.Dataset)"><!-- --></A><H3>
executeClustering</H3>
<PRE>
public <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>
<DL>
<DD><B>Description copied from interface: <CODE><A HREF="../../../../net/sf/javaml/clustering/Clusterer.html#executeClustering(net.sf.javaml.core.Dataset)">Clusterer</A></CODE></B></DD>
<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.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../net/sf/javaml/clustering/Clusterer.html#executeClustering(net.sf.javaml.core.Dataset)">executeClustering</A></CODE> in interface <CODE><A HREF="../../../../net/sf/javaml/clustering/Clusterer.html" title="interface in net.sf.javaml.clustering">Clusterer</A></CODE></DL>
</DD>
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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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