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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_10) on Fri Jan 26 16:34:47 NZDT 2007 --><TITLE>DBScan</TITLE><META NAME="keywords" CONTENT="weka.clusterers.DBScan class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="DBScan";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/" target="_blank"><FONT CLASS="NavBarFont1"><B>Weka's home</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../weka/clusterers/Cobweb.html" title="class in weka.clusterers"><B>PREV CLASS</B></A> <A HREF="../../weka/clusterers/DensityBasedClusterer.html" title="class in weka.clusterers"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../index.html?weka/clusterers/DBScan.html" target="_top"><B>FRAMES</B></A> <A HREF="DBScan.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.clusterers</FONT><BR>Class DBScan</H2><PRE>java.lang.Object <IMG SRC="../../resources/inherit.gif" ALT="extended by "><A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">weka.clusterers.Clusterer</A> <IMG SRC="../../resources/inherit.gif" ALT="extended by "><B>weka.clusterers.DBScan</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.io.Serializable, java.lang.Cloneable, <A HREF="../../weka/core/CapabilitiesHandler.html" title="interface in weka.core">CapabilitiesHandler</A>, <A HREF="../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A>, <A HREF="../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></DD></DL><HR><DL><DT><PRE>public class <B>DBScan</B><DT>extends <A HREF="../../weka/clusterers/Clusterer.html" title="class in weka.clusterers">Clusterer</A><DT>implements <A HREF="../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A>, <A HREF="../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></DL></PRE><P><!-- globalinfo-start --> Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Second International Conference on Knowledge Discovery and Data Mining, 226-231, 1996. <p/> <!-- globalinfo-end --> <!-- technical-bibtex-start --> BibTeX: <pre> @inproceedings{Ester1996, author = {Martin Ester and Hans-Peter Kriegel and Joerg Sander and Xiaowei Xu}, booktitle = {Second International Conference on Knowledge Discovery and Data Mining}, editor = {Evangelos Simoudis and Jiawei Han and Usama M. Fayyad}, pages = {226-231}, publisher = {AAAI Press}, title = {A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise}, year = {1996} } </pre> <p/> <!-- technical-bibtex-end --> <!-- options-start --> Valid options are: <p/> <pre> -E <double> epsilon (default = 0.9)</pre> <pre> -M <int> minPoints (default = 6)</pre> <pre> -I <String> index (database) used for DBScan (default = weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase)</pre> <pre> -D <String> distance-type (default = weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject)</pre> <!-- options-end --><P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.7 $</DD><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)</DD><DT><B>See Also:</B><DD><A HREF="../../serialized-form.html#weka.clusterers.DBScan">Serialized Form</A></DL><HR><P><!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#DBScan()">DBScan</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#buildClusterer(weka.core.Instances)">buildClusterer</A></B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A> instances)</CODE><BR> Generate Clustering via DBScan</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#clusterInstance(weka.core.Instance)">clusterInstance</A></B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance)</CODE><BR> Classifies a given instance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#database_distanceTypeTipText()">database_distanceTypeTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#database_TypeTipText()">database_TypeTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../weka/clusterers/forOPTICSAndDBScan/Databases/Database.html" title="interface in weka.clusterers.forOPTICSAndDBScan.Databases">Database</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#databaseForName(java.lang.String, weka.core.Instances)">databaseForName</A></B>(java.lang.String database_Type, <A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A> instances)</CODE><BR> Returns a new Class-Instance of the specified database</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../weka/clusterers/forOPTICSAndDBScan/DataObjects/DataObject.html" title="interface in weka.clusterers.forOPTICSAndDBScan.DataObjects">DataObject</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#dataObjectForName(java.lang.String, weka.core.Instance, java.lang.String, weka.clusterers.forOPTICSAndDBScan.Databases.Database)">dataObjectForName</A></B>(java.lang.String database_distanceType, <A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance, java.lang.String key, <A HREF="../../weka/clusterers/forOPTICSAndDBScan/Databases/Database.html" title="interface in weka.clusterers.forOPTICSAndDBScan.Databases">Database</A> database)</CODE><BR> Returns a new Class-Instance of the specified database</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#epsilonTipText()">epsilonTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#getCapabilities()">getCapabilities</A></B>()</CODE><BR> Returns default capabilities of the clusterer.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#getDatabase_distanceType()">getDatabase_distanceType</A></B>()</CODE><BR> Returns the distance-type</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#getDatabase_Type()">getDatabase_Type</A></B>()</CODE><BR> Returns the type of the used index (database)</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#getEpsilon()">getEpsilon</A></B>()</CODE><BR> Returns the value of epsilon</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#getMinPoints()">getMinPoints</A></B>()</CODE><BR> Returns the value of minPoints</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#getOptions()">getOptions</A></B>()</CODE><BR> Gets the current option settings for the OptionHandler.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#getTechnicalInformation()">getTechnicalInformation</A></B>()</CODE><BR> Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#globalInfo()">globalInfo</A></B>()</CODE><BR> Returns a string describing this DataMining-Algorithm</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration of all the available options..</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/clusterers/DBScan.html#main(java.lang.String[])">main</A></B>(java.lang.String[] args)</CODE><BR> Main Method for testing DBScan</TD></TR>⌨️ 快捷键说明
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