database.html

weka是机器学习和数据挖掘领域最有影响力的开源项目之一

<DL>
<DD>Select a dataObject from the database
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>key</CODE> - The key that is associated with the dataObject
<DT><B>Returns:</B><DD>dataObject</DL>
</DD>
</DL>
<HR>

<A NAME="size()"><!-- --></A><H3>
size</H3>
<PRE>
int <B>size</B>()</PRE>
<DL>
<DD>Returns the size of the database (the number of dataObjects in the database)
<P>
<DD><DL>

<DT><B>Returns:</B><DD>size</DL>
</DD>
</DL>
<HR>

<A NAME="keyIterator()"><!-- --></A><H3>
keyIterator</H3>
<PRE>
java.util.Iterator <B>keyIterator</B>()</PRE>
<DL>
<DD>Returns an iterator over all the keys
<P>
<DD><DL>

<DT><B>Returns:</B><DD>iterator</DL>
</DD>
</DL>
<HR>

<A NAME="dataObjectIterator()"><!-- --></A><H3>
dataObjectIterator</H3>
<PRE>
java.util.Iterator <B>dataObjectIterator</B>()</PRE>
<DL>
<DD>Returns an iterator over all the dataObjects in the database
<P>
<DD><DL>

<DT><B>Returns:</B><DD>iterator</DL>
</DD>
</DL>
<HR>

<A NAME="contains(weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject)"><!-- --></A><H3>
contains</H3>
<PRE>
boolean <B>contains</B>(<A HREF="../../../../weka/clusterers/forOPTICSAndDBScan/DataObjects/DataObject.html" title="interface in weka.clusterers.forOPTICSAndDBScan.DataObjects">DataObject</A>&nbsp;dataObject_Query)</PRE>
<DL>
<DD>Tests if the database contains the dataObject_Query
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>dataObject_Query</CODE> - The query-object
<DT><B>Returns:</B><DD>true if the database contains dataObject_Query, else false</DL>
</DD>
</DL>
<HR>

<A NAME="insert(weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject)"><!-- --></A><H3>
insert</H3>
<PRE>
void <B>insert</B>(<A HREF="../../../../weka/clusterers/forOPTICSAndDBScan/DataObjects/DataObject.html" title="interface in weka.clusterers.forOPTICSAndDBScan.DataObjects">DataObject</A>&nbsp;dataObject)</PRE>
<DL>
<DD>Inserts a new dataObject into the database
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>dataObject</CODE> - </DL>
</DD>
</DL>
<HR>

<A NAME="getInstances()"><!-- --></A><H3>
getInstances</H3>
<PRE>
<A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A> <B>getInstances</B>()</PRE>
<DL>
<DD>Returns the original instances delivered from WEKA
<P>
<DD><DL>

<DT><B>Returns:</B><DD>instances</DL>
</DD>
</DL>
<HR>

<A NAME="setMinMaxValues()"><!-- --></A><H3>
setMinMaxValues</H3>
<PRE>
void <B>setMinMaxValues</B>()</PRE>
<DL>
<DD>Sets the minimum and maximum values for each attribute in different arrays
 by walking through every DataObject of the database
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="getAttributeMinValues()"><!-- --></A><H3>
getAttributeMinValues</H3>
<PRE>
double[] <B>getAttributeMinValues</B>()</PRE>
<DL>
<DD>Returns the array of minimum-values for each attribute
<P>
<DD><DL>

<DT><B>Returns:</B><DD>attributeMinValues</DL>
</DD>
</DL>
<HR>

<A NAME="getAttributeMaxValues()"><!-- --></A><H3>
getAttributeMaxValues</H3>
<PRE>
double[] <B>getAttributeMaxValues</B>()</PRE>
<DL>
<DD>Returns the array of maximum-values for each attribute
<P>
<DD><DL>

<DT><B>Returns:</B><DD>attributeMaxValues</DL>
</DD>
</DL>
<HR>

<A NAME="epsilonRangeQuery(double, weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject)"><!-- --></A><H3>
epsilonRangeQuery</H3>
<PRE>
java.util.List <B>epsilonRangeQuery</B>(double&nbsp;epsilon,
                                 <A HREF="../../../../weka/clusterers/forOPTICSAndDBScan/DataObjects/DataObject.html" title="interface in weka.clusterers.forOPTICSAndDBScan.DataObjects">DataObject</A>&nbsp;queryDataObject)</PRE>
<DL>
<DD>Performs an epsilon range query for this dataObject
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>epsilon</CODE> - Specifies the range for the query<DD><CODE>queryDataObject</CODE> - The dataObject that is used as query-object for epsilon range query
<DT><B>Returns:</B><DD>List with all the DataObjects that are within the specified range</DL>
</DD>
</DL>
<HR>

<A NAME="k_nextNeighbourQuery(int, double, weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject)"><!-- --></A><H3>
k_nextNeighbourQuery</H3>
<PRE>
java.util.List <B>k_nextNeighbourQuery</B>(int&nbsp;k,
                                    double&nbsp;epsilon,
                                    <A HREF="../../../../weka/clusterers/forOPTICSAndDBScan/DataObjects/DataObject.html" title="interface in weka.clusterers.forOPTICSAndDBScan.DataObjects">DataObject</A>&nbsp;dataObject)</PRE>
<DL>
<DD>Emits the k next-neighbours and performs an epsilon-range-query at the parallel.
 The returned list contains two elements:
 At index=0 --> list with all k next-neighbours;
 At index=1 --> list with all dataObjects within epsilon;
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>k</CODE> - number of next neighbours<DD><CODE>epsilon</CODE> - Specifies the range for the query<DD><CODE>dataObject</CODE> - the start object
<DT><B>Returns:</B><DD>list with the k-next neighbours (PriorityQueueElements) and a list
         with candidates from the epsilon-range-query (EpsilonRange_ListElements)</DL>
</DD>
</DL>
<HR>

<A NAME="coreDistance(int, double, weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject)"><!-- --></A><H3>
coreDistance</H3>
<PRE>
java.util.List <B>coreDistance</B>(int&nbsp;minPoints,
                            double&nbsp;epsilon,
                            <A HREF="../../../../weka/clusterers/forOPTICSAndDBScan/DataObjects/DataObject.html" title="interface in weka.clusterers.forOPTICSAndDBScan.DataObjects">DataObject</A>&nbsp;dataObject)</PRE>
<DL>
<DD>Calculates the coreDistance for the specified DataObject.
 The returned list contains three elements:
 At index=0 --> list with all k next-neighbours;
 At index=1 --> list with all dataObjects within epsilon;
 At index=2 --> coreDistance as Double-value
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>minPoints</CODE> - minPoints-many neighbours within epsilon must be found to have a non-undefined coreDistance<DD><CODE>epsilon</CODE> - Specifies the range for the query<DD><CODE>dataObject</CODE> - Calculate coreDistance for this dataObject
<DT><B>Returns:</B><DD>list with the k-next neighbours (PriorityQueueElements) and a list
         with candidates from the epsilon-range-query (EpsilonRange_ListElements) and
         the double-value for the calculated coreDistance</DL>
</DD>
</DL>
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