public class SPIDER2 extends Metodo
File: SPIDER2.java
The SPIDER algorithm is an instance selection method used to deal with the imbalanced problem.clasesTest, clasesTrain, datosTest, datosTrain, distanceEu, entradas, ficheroSalida, ficheroTest, ficheroTraining, ficheroValidation, nEntradas, nominalDistance, nominalTrain, nulosTrain, realTest, realTrain, relation, salida, stdDev, test, training| Constructor and Description |
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SPIDER2(java.lang.String ficheroScript)
Constructor of the class.
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| Modifier and Type | Method and Description |
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int |
evaluationKNN_SPIDER2(int nvec,
double[][] conj,
double[][] real,
int[][] nominal,
boolean[][] nulos,
int[] clases,
double[] ejemplo,
double[] ejReal,
int[] ejNominal,
boolean[] ejNulos,
int nClases,
boolean distance,
int[] vecinos,
boolean[] isSafe)
Computes the k nearest neighbors SPIDER of a given item.
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int |
evaluationKNNClass(int nvec,
double[][] conj,
double[][] real,
int[][] nominal,
boolean[][] nulos,
int[] clases,
double[] ejemplo,
double[] ejReal,
int[] ejNominal,
boolean[] ejNulos,
int nClases,
boolean distance,
int[] vecinos,
int clase,
boolean[] isSafe)
Computes the k nearest neighbors of a given item belonging to a fixed class.
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void |
leerConfiguracion(java.lang.String ficheroScript)
Obtains the parameters used in the execution of the algorithm and stores
them in the private variables of the class
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void |
run()
The main method of the class that includes the operations of the algorithm.
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normalizarpublic SPIDER2(java.lang.String ficheroScript)
Constructor of the class. It configures the execution of the algorithm by reading the configuration script that indicates the parameters that are going to be used.
ficheroScript - Name of the configuration script that indicates the
parameters that are going to be used during the execution of the algorithmpublic void run()
The main method of the class that includes the operations of the algorithm. It includes all the operations that the algorithm has and finishes when it writes the output information into files.
public int evaluationKNNClass(int nvec,
double[][] conj,
double[][] real,
int[][] nominal,
boolean[][] nulos,
int[] clases,
double[] ejemplo,
double[] ejReal,
int[] ejNominal,
boolean[] ejNulos,
int nClases,
boolean distance,
int[] vecinos,
int clase,
boolean[] isSafe)
Computes the k nearest neighbors of a given item belonging to a fixed class. With that neighbors a suggested class for the item is returned.
nvec - Number of nearest neighbors that are going to be searchedconj - Matrix with the data of all the items in the datasetreal - Matrix with the data associated to the real attributes of the datasetnominal - Matrix with the data associated to the nominal attributes of the datasetnulos - Matrix with the data associated to the missing values of the datasetclases - Array with the associated class for each item in the datasetejemplo - Array with the data of the specific item in the dataset used
as a reference in the nearest neighbor searchejReal - Array with the data of the real attributes of the specific item in the datasetejNominal - Array with the data of the nominal attributes of the specific item in the datasetejNulos - Array with the data of the missing values of the specific item in the datasetnClases - Class of the specific item in the datasetdistance - Kind of distance used in the nearest neighbors computation.
If true the distance used is the euclidean, if false the HVMD distance is usedvecinos - Array that will have the nearest neighbours id for the current specific itemclase - Class of the neighbours searched for the itemisSafe - true if it is safe.public int evaluationKNN_SPIDER2(int nvec,
double[][] conj,
double[][] real,
int[][] nominal,
boolean[][] nulos,
int[] clases,
double[] ejemplo,
double[] ejReal,
int[] ejNominal,
boolean[] ejNulos,
int nClases,
boolean distance,
int[] vecinos,
boolean[] isSafe)
Computes the k nearest neighbors SPIDER of a given item.
nvec - Number of nearest neighbors that are going to be searchedconj - Matrix with the data of all the items in the datasetreal - Matrix with the data associated to the real attributes of the datasetnominal - Matrix with the data associated to the nominal attributes of the datasetnulos - Matrix with the data associated to the missing values of the datasetclases - Array with the associated class for each item in the datasetejemplo - Array with the data of the specific item in the dataset used
as a reference in the nearest neighbor searchejReal - Array with the data of the real attributes of the specific item in the datasetejNominal - Array with the data of the nominal attributes of the specific item in the datasetejNulos - Array with the data of the missing values of the specific item in the datasetnClases - Class of the specific item in the datasetdistance - Kind of distance used in the nearest neighbors computation.
If true the distance used is the euclidean, if false the HVMD distance is usedvecinos - Array that will have the nearest neighbours id for the current specific itemisSafe - true if it is safe.public void leerConfiguracion(java.lang.String ficheroScript)
Obtains the parameters used in the execution of the algorithm and stores them in the private variables of the class
leerConfiguracion in class MetodoficheroScript - Name of the configuration script that indicates the
parameters that are going to be used during the execution of the algorithm