at.tuwien.ifs.somtoolbox.data.normalisation

Class AbstractNormaliser

java.lang.Object

at.tuwien.ifs.somtoolbox.data.AbstractSOMLibSparseInputData

at.tuwien.ifs.somtoolbox.data.SOMLibSparseInputData

at.tuwien.ifs.somtoolbox.data.normalisation.AbstractNormaliser

All Implemented Interfaces:

InputData

Direct Known Subclasses:

MinMaxNormaliser, StandardScoreNormaliser, UnitLengthNormaliser

abstract class AbstractNormaliser
extends SOMLibSparseInputData

Version:

$Id: AbstractNormaliser.java 3587 2010-05-21 10:35:33Z mayer $

Author:

Rudolf Mayer

Field Summary

Fields

Modifier and Type	Field and Description
protected java.io.BufferedWriter	writer

Fields inherited from class at.tuwien.ifs.somtoolbox.data.SOMLibSparseInputData

data, DEFAULT_NORMALISED, DEFAULT_NUM_CACHE_BLOCKS, DEFAULT_RANDOM_SEED, DEFAULT_SPARSE, INPUT_VECTOR_FILE_FORMAT_CORRUPT_MESSAGE, nonZeros, sparse

Fields inherited from class at.tuwien.ifs.somtoolbox.data.AbstractSOMLibSparseInputData

classInfo, contentType, dataNames, dim, ERROR_MESSAGE_FILE_FORMAT_CORRUPT, featureMatrixCols, featureMatrixRows, isNormalized, meanVector, mqe0, nameCache, numVectors, rand, source, templateVector

Fields inherited from interface at.tuwien.ifs.somtoolbox.data.InputData

inputFileNameSuffix, MISSING_VALUE

Constructor Summary

Constructors

Constructor and Description
AbstractNormaliser()

Method Summary

Modifier and Type	Method and Description
void	normalise(java.lang.String inputFileName, java.lang.String outputFileName)
abstract void	postReading()
abstract void	preReading()

Methods inherited from class at.tuwien.ifs.somtoolbox.data.SOMLibSparseInputData

addInstance, getDataAsMatrix, getDimensionality, getInputDatum, getInputVector, getValue, init, initDataStructures, initMatrix, main, mqe0, openFile, parse, parseDouble, processLine, readVectorFile, setLabel, setMatrixValue, setValue, subset

Methods inherited from class at.tuwien.ifs.somtoolbox.data.AbstractSOMLibSparseInputData

classInformation, create, dim, equals, getByNameDistanceSorted, getContentType, getData, getData, getDataIntervals, getDataSource, getDistanceMatrix, getDistances, getFeatureDensities, getFeatureMatrixColumns, getFeatureMatrixRows, getFileNameSuffix, getFormatName, getInputDatum, getInputDatum, getInputDatumIndex, getLabel, getLabels, getMaxValue, getMeanVector, getMeanVector, getMinValue, getNearestDistances, getNearestN, getNearestN, getNearestNUnsorted, getRandomInputDatum, initDistanceMatrix, isNormalizedToUnitLength, numVectors, setClassInfo, setTemplateVector, templateVector, transformValues

Methods inherited from class java.lang.Object

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

Field Detail

writer

protected java.io.BufferedWriter writer

Constructor Detail

AbstractNormaliser

AbstractNormaliser()

Method Detail

normalise

public void normalise(java.lang.String inputFileName,
                      java.lang.String outputFileName)
               throws java.io.IOException

Throws:

java.io.IOException

postReading

public abstract void postReading()
                          throws java.io.IOException

Throws:

java.io.IOException

preReading

public abstract void preReading()