public class HeterDisc extends Discretizer
This class implements the Heter-Disc discretizer
| Modifier and Type | Class and Description |
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class |
HeterDisc.DiscretizationScheme
This class lets to manipulate discretization schemes
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classOfInstances, cutPoints, iClassIndex, realAttributes, realValues| Constructor and Description |
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HeterDisc()
Constructor of the class
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| Modifier and Type | Method and Description |
|---|---|
double |
computeCriterionFuction(int[] selectedp,
int ni,
int attribute)
It computes and returns the value of criterion function of the discretization scheme build with selectedp cutpoints
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double |
computeHeterCCPV(double[] ccpv)
It computes the heterogeneity for a conditional class probability vector given needed for compute
the heterogeneity of a discretization scheme in criterion fuction calculus
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void |
CreateQuantaMatrix(int ni,
int attribute,
int[] selected)
It creates the quanta matrix basis of selected cutpoints array
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protected java.util.Vector |
discretizeAttribute(int attribute,
int[] values,
int begin,
int end)
Returns a vector with the discretized values
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void |
generateNeighborhood(HeterDisc.DiscretizationScheme ds,
int ni,
int attribute,
double GlobalOpt)
It generates the neighborhood of ds scheme discretization and adds each neighbor to variable GD
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applyDiscretization, buildCutPoints, discretize, getCutPoint, getNumIntervals, sortValuesprotected java.util.Vector discretizeAttribute(int attribute,
int[] values,
int begin,
int end)
Returns a vector with the discretized values
discretizeAttribute in class Discretizerattribute - index of the attribute to discretizevalues - vector of indexes of the instances sorted from lowest to highest value of attributebegin - index of the instance with the lowest value of attributeend - index of the instance with the highest value of attributepublic void generateNeighborhood(HeterDisc.DiscretizationScheme ds, int ni, int attribute, double GlobalOpt)
It generates the neighborhood of ds scheme discretization and adds each neighbor to variable GD
ds - discretization scheme to generate its neighborhoodni - number of intervals of the neighbors discretizationsattribute - index of the attribute to discretizeGlobalOpt - fitness of the best discretization scheme foundpublic double computeCriterionFuction(int[] selectedp,
int ni,
int attribute)
It computes and returns the value of criterion function of the discretization scheme build with selectedp cutpoints
selectedp - indexes of selected cutpointsni - number of intervalsattribute - index of the attributepublic double computeHeterCCPV(double[] ccpv)
It computes the heterogeneity for a conditional class probability vector given needed for compute the heterogeneity of a discretization scheme in criterion fuction calculus
ccpv - conditional class probability vectorpublic void CreateQuantaMatrix(int ni,
int attribute,
int[] selected)
It creates the quanta matrix basis of selected cutpoints array
ni - number of intervalsattribute - index of the attributeselected - vector with indexes of selected cut-points