dragon.matrix

Class DoubleFlatSparseMatrix

java.lang.Object

dragon.matrix.AbstractMatrix

dragon.matrix.AbstractSparseMatrix

dragon.matrix.AbstractFlatSparseMatrix

dragon.matrix.DoubleFlatSparseMatrix

All Implemented Interfaces:

DoubleSparseMatrix, Matrix, SparseMatrix, Serializable

public class DoubleFlatSparseMatrix
extends AbstractFlatSparseMatrix
implements DoubleSparseMatrix, Serializable

Double flat sparse matrix handles data smaller than super sparse matrix, however it provides options of storing data to disk either in binary or text format

Copyright: Copyright (c) 2005

Company: IST, Drexel University

Version:

1.0

Author:

Davis Zhou

See Also:

Serialized Form

Field Summary

Fields inherited from class dragon.matrix.AbstractFlatSparseMatrix

list

Fields inherited from class dragon.matrix.AbstractSparseMatrix

isFinalized, mergeMode, miniMode

Fields inherited from class dragon.matrix.AbstractMatrix

cellDataLength, columnBase, columns, rowBase, rows, transposeMatrix

Constructor Summary

Constructors

Constructor and Description
DoubleFlatSparseMatrix()
DoubleFlatSparseMatrix(boolean mergeMode, boolean miniMode)
DoubleFlatSparseMatrix(String filename)
DoubleFlatSparseMatrix(String filename, boolean binaryFile)

Method Summary

Modifier and Type	Method and Description
boolean	add(int row, int column, double value) It is equal to create a double cell and then add the cell to the sparse matrix.
Cell	createCell(int row, int column, byte[] data) This method will be called when the sparse matrix loads data from a binary file.
Cell	createCell(int row, int column, String data) This method will be called when the sparse matrix loads data from a text file.
SparseMatrix	createSparseMatrix() This method return an empty sparse matrix with the same implemented type as the current matrix.
double	get(int row, int column)
double	getColumnSum(int column)
double	getQuick(int row, int column)
double	getRowSum(int row)
void	normalizeColumns()
void	normalizeRows()
DoubleDenseMatrix	product(DoubleDenseMatrix b)
DoubleDenseMatrix	product(DoubleFlatSparseMatrix matrixY)
void	set(int row, int column, double score)
void	setQuick(int row, int column, double score)

Methods inherited from class dragon.matrix.AbstractFlatSparseMatrix

add, close, finalizeData, flush, getCell, getNonZeroCell, getNonZeroCellInRow, getNonZeroColumnInRow, getNonZeroColumnsInRow, getNonZeroNum, getNonZeroNumInRow, getRowEnd, getRowStart, print, readBinaryMatrixFile, readTextMatrixFile, saveTo, saveTo, setDouble, setInt, setNonZeroDoubleScoreInRow, setNonZeroIntScoreInRow

Methods inherited from class dragon.matrix.AbstractSparseMatrix

cosine, finalizeData, genCooccurrenceMatrix, genCooccurrenceMatrix, genCooccurrenceMatrix, genTranslationMatrix, getCooccurrenceCount, getDouble, getInt, getNonZeroCellInColumn, getNonZeroDoubleScoreInColumn, getNonZeroDoubleScoreInRow, getNonZeroDoubleScoresInColumn, getNonZeroDoubleScoresInRow, getNonZeroIntScoreInColumn, getNonZeroIntScoreInRow, getNonZeroIntScoresInColumn, getNonZeroIntScoresInRow, getNonZeroNumInColumn, getNonZeroRowInColumn, getNonZeroRowsInColumn, isFinalized, transpose

Methods inherited from class dragon.matrix.AbstractMatrix

columns, getBaseColumn, getBaseRow, getCellDataLength, getTranspose, rows, setTranspose

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface dragon.matrix.SparseMatrix

add, finalizeData, finalizeData, flush, genCooccurrenceMatrix, genCooccurrenceMatrix, genCooccurrenceMatrix, getCell, getNonZeroCellInColumn, getNonZeroCellInRow, getNonZeroColumnInRow, getNonZeroColumnsInRow, getNonZeroDoubleScoreInColumn, getNonZeroDoubleScoreInRow, getNonZeroDoubleScoresInColumn, getNonZeroDoubleScoresInRow, getNonZeroIntScoreInColumn, getNonZeroIntScoreInRow, getNonZeroIntScoresInColumn, getNonZeroIntScoresInRow, getNonZeroNum, getNonZeroNumInColumn, getNonZeroNumInRow, getNonZeroRowInColumn, getNonZeroRowsInColumn, isFinalized

Methods inherited from interface dragon.matrix.Matrix

close, columns, cosine, getBaseColumn, getBaseRow, getCellDataLength, getCooccurrenceCount, getDouble, getInt, getTranspose, rows, setTranspose, transpose

Constructor Detail

DoubleFlatSparseMatrix

public DoubleFlatSparseMatrix()

DoubleFlatSparseMatrix

public DoubleFlatSparseMatrix(boolean mergeMode,
                              boolean miniMode)

DoubleFlatSparseMatrix

public DoubleFlatSparseMatrix(String filename)

DoubleFlatSparseMatrix

public DoubleFlatSparseMatrix(String filename,
                              boolean binaryFile)

Method Detail

createSparseMatrix

public SparseMatrix createSparseMatrix()

Description copied from interface: SparseMatrix

This method return an empty sparse matrix with the same implemented type as the current matrix.

Specified by:

createSparseMatrix in interface SparseMatrix

Returns:

an emtpy sparse matrix

createCell

public Cell createCell(int row,
                       int column,
                       byte[] data)

Description copied from interface: SparseMatrix

This method will be called when the sparse matrix loads data from a binary file.

Specified by:

createCell in interface SparseMatrix

Parameters:

row - the row index of the cell

column - the column index of the cell

data - the input data for the cell

Returns:

cell object

createCell

public Cell createCell(int row,
                       int column,
                       String data)

Description copied from interface: SparseMatrix

This method will be called when the sparse matrix loads data from a text file.

Specified by:

createCell in interface SparseMatrix

Parameters:

row - the row index of the cell

column - the column index of the cell

data - the input data for the cell

Returns:

cell object

add

public boolean add(int row,
                   int column,
                   double value)

Description copied from interface: DoubleSparseMatrix

It is equal to create a double cell and then add the cell to the sparse matrix.

Specified by:

add in interface DoubleSparseMatrix

Parameters:

row - the row of the cell

column - the column of the cell

value - the score of the cell

Returns:

true if added successfully

get

public double get(int row,
                  int column)

set

public void set(int row,
                int column,
                double score)

getQuick

public double getQuick(int row,
                       int column)

setQuick

public void setQuick(int row,
                     int column,
                     double score)

getRowSum

public double getRowSum(int row)

Specified by:

getRowSum in interface DoubleSparseMatrix

Parameters:

row - the index of the row

Returns:

the summation score of the given row.

getColumnSum

public double getColumnSum(int column)

normalizeColumns

public void normalizeColumns()

normalizeRows

public void normalizeRows()

product

public DoubleDenseMatrix product(DoubleFlatSparseMatrix matrixY)

product

public DoubleDenseMatrix product(DoubleDenseMatrix b)