V
- vector typepublic class AttributeWiseMinMaxNormalization<V extends NumberVector<V,?>> extends AbstractNormalization<V>
Modifier and Type | Class and Description |
---|---|
static class |
AttributeWiseMinMaxNormalization.Parameterizer<V extends NumberVector<V,?>>
Parameterization class.
|
Modifier and Type | Field and Description |
---|---|
private double[] |
maxima
Stores the maximum in each dimension.
|
static OptionID |
MAXIMA_ID
Parameter for maximum.
|
private double[] |
minima
Stores the minimum in each dimension.
|
static OptionID |
MINIMA_ID
Parameter for minimum.
|
Constructor and Description |
---|
AttributeWiseMinMaxNormalization(double[] minima,
double[] maxima)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
private double |
factor(int dimension)
Returns a factor for normalization in a certain dimension.
|
protected V |
filterSingleObject(V featureVector)
Normalize a single instance.
|
protected SimpleTypeInformation<? super V> |
getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
|
protected void |
prepareProcessInstance(V featureVector)
Process a single object during initialization.
|
protected boolean |
prepareStart(SimpleTypeInformation<V> in)
Return "true" when the normalization needs initialization (two-pass filtering!)
|
V |
restore(V featureVector)
Transforms a feature vector to the original attribute ranges.
|
String |
toString() |
LinearEquationSystem |
transform(LinearEquationSystem linearEquationSystem)
Transforms a linear equation system describing linear dependencies
derived on the normalized space into a linear equation system describing
linear dependencies quantitatively adapted to the original space.
|
convertedType, normalizeObjects
filter, prepareComplete
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
filter
public static final OptionID MINIMA_ID
public static final OptionID MAXIMA_ID
private double[] maxima
private double[] minima
public AttributeWiseMinMaxNormalization(double[] minima, double[] maxima)
minima
- Minimum valuesmaxima
- Maximum valuesprotected boolean prepareStart(SimpleTypeInformation<V> in)
AbstractConversionFilter
prepareStart
in class AbstractConversionFilter<V extends NumberVector<V,?>,V extends NumberVector<V,?>>
in
- Input type informationprotected void prepareProcessInstance(V featureVector)
AbstractConversionFilter
prepareProcessInstance
in class AbstractConversionFilter<V extends NumberVector<V,?>,V extends NumberVector<V,?>>
featureVector
- Object to processprotected V filterSingleObject(V featureVector)
AbstractConversionFilter
filterSingleObject
in class AbstractConversionFilter<V extends NumberVector<V,?>,V extends NumberVector<V,?>>
featureVector
- Database object to normalizepublic V restore(V featureVector) throws NonNumericFeaturesException
Normalization
featureVector
- a feature vector to be transformed into original spaceNonNumericFeaturesException
- feature vector is not compatible with values initialized
during normalizationprivate double factor(int dimension)
dimension
- the dimension to get a factor for normalizationpublic LinearEquationSystem transform(LinearEquationSystem linearEquationSystem)
Normalization
transform
in interface Normalization<V extends NumberVector<V,?>>
transform
in class AbstractNormalization<V extends NumberVector<V,?>>
linearEquationSystem
- the linear equation system to be transformedpublic String toString()
toString
in class AbstractNormalization<V extends NumberVector<V,?>>
protected SimpleTypeInformation<? super V> getInputTypeRestriction()
AbstractConversionFilter
getInputTypeRestriction
in class AbstractConversionFilter<V extends NumberVector<V,?>,V extends NumberVector<V,?>>