matrix.html

这是一个由java实现的数据挖掘

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<A NAME="Matrix(java.io.Reader)"><!-- --></A><H3>
Matrix</H3>
<PRE>
public <B>Matrix</B>(java.io.Reader&nbsp;r)
       throws java.lang.Exception</PRE>
<DL>
<DD>Reads a matrix from a reader. The first line in the file should
 contain the number of rows and columns. Subsequent lines
 contain elements of the matrix.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>r</CODE> - the reader containing the matrix<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL>
</DD>
</DL>

<!-- ============ METHOD DETAIL ========== -->

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<B>Method Detail</B></FONT></TD>
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</TABLE>

<A NAME="clone()"><!-- --></A><H3>
clone</H3>
<PRE>
public java.lang.Object <B>clone</B>()
                       throws java.lang.CloneNotSupportedException</PRE>
<DL>
<DD>Creates and returns a clone of this object.<DD><DL>
<DT><B>Overrides:</B><DD><CODE>clone</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a clone of this instance.<DT><B>Throws:</B><DD><CODE>java.lang.CloneNotSupportedException</CODE> - if an error occurs</DL>
</DD>
</DL>
<HR>

<A NAME="write(java.io.Writer)"><!-- --></A><H3>
write</H3>
<PRE>
public void <B>write</B>(java.io.Writer&nbsp;w)
           throws java.lang.Exception</PRE>
<DL>
<DD>Writes out a matrix<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>w</CODE> - the output Writer<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL>
</DD>
</DL>
<HR>

<A NAME="initialize()"><!-- --></A><H3>
initialize</H3>
<PRE>
protected void <B>initialize</B>()</PRE>
<DL>
<DD>Resets the elements to default values (i.e. 0).<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="getElement(int, int)"><!-- --></A><H3>
getElement</H3>
<PRE>
public final double <B>getElement</B>(int&nbsp;rowIndex,
                               int&nbsp;columnIndex)</PRE>
<DL>
<DD>Returns the value of a cell in the matrix.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>rowIndex</CODE> - the row's index<DD><CODE>columnIndex</CODE> - the column's index<DT><B>Returns:</B><DD>the value</DL>
</DD>
</DL>
<HR>

<A NAME="addElement(int, int, double)"><!-- --></A><H3>
addElement</H3>
<PRE>
public final void <B>addElement</B>(int&nbsp;rowIndex,
                             int&nbsp;columnIndex,
                             double&nbsp;value)</PRE>
<DL>
<DD>Add a value to an element.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>rowIndex</CODE> - the row's index.<DD><CODE>columnIndex</CODE> - the column's index.<DD><CODE>value</CODE> - the value to add.</DL>
</DD>
</DL>
<HR>

<A NAME="numRows()"><!-- --></A><H3>
numRows</H3>
<PRE>
public final int <B>numRows</B>()</PRE>
<DL>
<DD>Returns the number of rows in the matrix.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of rows</DL>
</DD>
</DL>
<HR>

<A NAME="numColumns()"><!-- --></A><H3>
numColumns</H3>
<PRE>
public final int <B>numColumns</B>()</PRE>
<DL>
<DD>Returns the number of columns in the matrix.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of columns</DL>
</DD>
</DL>
<HR>

<A NAME="setElement(int, int, double)"><!-- --></A><H3>
setElement</H3>
<PRE>
public final void <B>setElement</B>(int&nbsp;rowIndex,
                             int&nbsp;columnIndex,
                             double&nbsp;value)</PRE>
<DL>
<DD>Sets an element of the matrix to the given value.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>rowIndex</CODE> - the row's index<DD><CODE>columnIndex</CODE> - the column's index<DD><CODE>value</CODE> - the value</DL>
</DD>
</DL>
<HR>

<A NAME="setRow(int, double[])"><!-- --></A><H3>
setRow</H3>
<PRE>
public final void <B>setRow</B>(int&nbsp;index,
                         double[]&nbsp;newRow)</PRE>
<DL>
<DD>Sets a row of the matrix to the given row. Performs a deep copy.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - the row's index<DD><CODE>newRow</CODE> - an array of doubles</DL>
</DD>
</DL>
<HR>

<A NAME="setColumn(int, double[])"><!-- --></A><H3>
setColumn</H3>
<PRE>
public final void <B>setColumn</B>(int&nbsp;index,
                            double[]&nbsp;newColumn)</PRE>
<DL>
<DD>Sets a column of the matrix to the given column. Performs a deep copy.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - the column's index<DD><CODE>newColumn</CODE> - an array of doubles</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Converts a matrix to a string<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the converted string</DL>
</DD>
</DL>
<HR>

<A NAME="add(weka.core.Matrix)"><!-- --></A><H3>
add</H3>
<PRE>
public final <A HREF="../../weka/core/Matrix.html">Matrix</A> <B>add</B>(<A HREF="../../weka/core/Matrix.html">Matrix</A>&nbsp;other)</PRE>
<DL>
<DD>Returns the sum of this matrix with another.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the sum.</DL>
</DD>
</DL>
<HR>

<A NAME="transpose()"><!-- --></A><H3>
transpose</H3>
<PRE>
public final <A HREF="../../weka/core/Matrix.html">Matrix</A> <B>transpose</B>()</PRE>
<DL>
<DD>Returns the transpose of a matrix.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the transposition of this instance).</DL>
</DD>
</DL>
<HR>

<A NAME="multiply(weka.core.Matrix)"><!-- --></A><H3>
multiply</H3>
<PRE>
public final <A HREF="../../weka/core/Matrix.html">Matrix</A> <B>multiply</B>(<A HREF="../../weka/core/Matrix.html">Matrix</A>&nbsp;b)</PRE>
<DL>
<DD>Reurns the multiplication of two matrices<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>b</CODE> - the multiplication matrix<DT><B>Returns:</B><DD>the product matrix</DL>
</DD>
</DL>
<HR>

<A NAME="regression(weka.core.Matrix)"><!-- --></A><H3>
regression</H3>
<PRE>
public final double[] <B>regression</B>(<A HREF="../../weka/core/Matrix.html">Matrix</A>&nbsp;y)</PRE>
<DL>
<DD>Performs a (ridged) linear regression.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>y</CODE> - the dependent variable vector<DT><B>Returns:</B><DD>the coefficients<DT><B>Throws:</B><DD><CODE>java.lang.IllegalArgumentException</CODE> - if not successful</DL>
</DD>
</DL>
<HR>

<A NAME="regression(weka.core.Matrix, double[])"><!-- --></A><H3>
regression</H3>
<PRE>
public final double[] <B>regression</B>(<A HREF="../../weka/core/Matrix.html">Matrix</A>&nbsp;y,
                                 double[]&nbsp;w)</PRE>
<DL>
<DD>Performs a weighted (ridged) linear regression.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>y</CODE> - the dependent variable vector<DD><CODE>w</CODE> - the array of data point weights<DT><B>Returns:</B><DD>the coefficients<DT><B>Throws:</B><DD><CODE>java.lang.IllegalArgumentException</CODE> - if the wrong number of weights were
 provided.</DL>
</DD>
</DL>
<HR>

<A NAME="lubksb(int[], double[])"><!-- --></A><H3>
lubksb</H3>
<PRE>
public final void <B>lubksb</B>(int[]&nbsp;indx,
                         double[]&nbsp;b)</PRE>
<DL>
<DD>Performs LU backward substitution.  Adapted from Numerical Recipes in C.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>indx</CODE> - the indices of the permutation<DD><CODE>b</CODE> - the double vector, storing constant terms in the equation set; 
 it later stores the computed coefficients' values</DL>
</DD>
</DL>
<HR>

<A NAME="ludcmp()"><!-- --></A><H3>
ludcmp</H3>
<PRE>
public final int[] <B>ludcmp</B>()
                   throws java.lang.Exception</PRE>
<DL>
<DD>Performs LU decomposition. Adapted from Numerical Recipes in C.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the indices of the permutation<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the matrix is singular</DL>
</DD>
</DL>
<HR>

<A NAME="main(java.lang.String[])"><!-- --></A><H3>
main</H3>
<PRE>
public static void <B>main</B>(java.lang.String[]&nbsp;ops)</PRE>
<DL>
<DD>Main method for testing this class.<DD><DL>
</DL>
</DD>
</DL>
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