public class ARS extends RandomSelector
numberOfPrototypesSelected
algorithmName, generatedDataSet, SEED, seedDefaultValueList, trainingDataSet
Constructor and Description |
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ARS(PrototypeSet t,
int n)
Creates a new AdvanceRandomSelector
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ARS(PrototypeSet t,
Parameters params)
Creates a new AdvanceRandomSelector
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Modifier and Type | Method and Description |
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static void |
main(java.lang.String[] args)
General main for all the prototoype generators
Arguments:
0: Filename with the training data set to be condensed.
1: Filename wich will contain the test data set
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PrototypeSet |
reduceSet()
Extract prototypes from the training data and returns them in a new data set.
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absoluteAccuracy, absoluteAccuracyAndError, absoluteAccuracyKNN, accuracy, accuracy2, desordenar_vector_sin, desordenar_vector, execute, generateReducedDataSet, getResultingAccuracy, getResultingAccuracy, getResults, getResultsOfAccuracy, getResultsOfAccuracy, getSeed, getSetSizeFromPercentage, getSetSizeFromPercentage, getTime, inic_vector_sin, inic_vector, saveResultsOfAccuracyIn, saveResultsOfAccuracyIn, selecRandomSet, setSeed, showResultsOfAccuracy, showResultsOfAccuracy
public ARS(PrototypeSet t, int n)
t
- Traning data setn
- Number of prototypes to be extracted.public ARS(PrototypeSet t, Parameters params)
t
- Traning data setparams
- External parameterspublic PrototypeSet reduceSet()
reduceSet
in class RandomSelector
public static void main(java.lang.String[] args)
args
- Arguments of the main function.