at.tuwien.ifs.somtoolbox.data.normalisation

Class MinMaxNormaliser

java.lang.Object

at.tuwien.ifs.somtoolbox.data.AbstractSOMLibSparseInputData

at.tuwien.ifs.somtoolbox.data.SOMLibSparseInputData

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

at.tuwien.ifs.somtoolbox.data.normalisation.MinMaxNormaliser

All Implemented Interfaces:

InputData

public class MinMaxNormaliser
extends AbstractNormaliser

Min-max normalisation, normalises the attributes between 0 and 1.

Version:

$Id: MinMaxNormaliser.java 3358 2010-02-11 14:35:07Z mayer $

Author:

Rudolf Mayer

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double[]	maxValues
(package private) double[]	minValues

Fields inherited from class at.tuwien.ifs.somtoolbox.data.normalisation.AbstractNormaliser

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
MinMaxNormaliser()

Method Summary

Modifier and Type	Method and Description
void	postReading()
void	preReading()
protected void	processLine(int index, java.lang.String[] lineElements) Process a single line of the input vector file.

Methods inherited from class at.tuwien.ifs.somtoolbox.data.normalisation.AbstractNormaliser

normalise

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

addInstance, getDataAsMatrix, getDimensionality, getInputDatum, getInputVector, getValue, init, initDataStructures, initMatrix, main, mqe0, openFile, parse, parseDouble, 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

minValues

double[] minValues

maxValues

double[] maxValues

Constructor Detail

MinMaxNormaliser

public MinMaxNormaliser()

Method Detail

preReading

public void preReading()

Specified by:

preReading in class AbstractNormaliser

postReading

public void postReading()
                 throws java.io.IOException

Specified by:

postReading in class AbstractNormaliser

Throws:

java.io.IOException

processLine

protected void processLine(int index,
                           java.lang.String[] lineElements)
                    throws java.lang.Exception

Description copied from class: SOMLibSparseInputData

Process a single line of the input vector file.

Overrides:

processLine in class SOMLibSparseInputData

Parameters:

index - the line index

lineElements - the line elements, split by the delimeters

Throws:

java.lang.Exception