public class PSOGenerator extends PrototypeGenerator
Modifier and Type | Field and Description |
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protected int |
numberOfClass |
protected int |
numberOfPrototypes |
algorithmName, generatedDataSet, SEED, seedDefaultValueList, trainingDataSet
Constructor and Description |
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PSOGenerator(PrototypeSet _trainingDataSet,
int neigbors,
int poblacion,
int perc,
int iteraciones,
double c1,
double c2,
double vmax,
double wstart,
double wend)
Build a new PSOGenerator Algorithm
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PSOGenerator(PrototypeSet t,
Parameters parameters)
Build a new PSOGenerator Algorithm
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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 which contains the test data set.
3: Seed of the random number generator.
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PrototypeSet |
reduceSet()
Generate a reduced prototype set by the PSOGenerator method.
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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
protected int numberOfPrototypes
protected int numberOfClass
public PSOGenerator(PrototypeSet _trainingDataSet, int neigbors, int poblacion, int perc, int iteraciones, double c1, double c2, double vmax, double wstart, double wend)
public PSOGenerator(PrototypeSet t, Parameters parameters)
t
- Original prototype set to be reduced.parameters
- Parameters of the algorithm (only % of reduced set).public PrototypeSet reduceSet()
reduceSet
in class PrototypeGenerator
public static void main(java.lang.String[] args)
args
- Arguments of the main function.