/**
* This public static method runs the algorithm that this class concerns with.
*
* @param args Array of strings to sent parameters to the main program. The path of the
* algorithm's parameters file must be given.
*/
public static void main(String args[]) {
boolean tty = false;
ProcessConfig pc = new ProcessConfig();
System.out.println("Reading configuration file: " + args[0]);
if (pc.fileProcess(args[0]) < 0) return;
int algo = pc.parAlgorithmType;
rand = new Randomize();
rand.setSeed(pc.parSeed);
ModelFuzzyPittsBurgh pi = new ModelFuzzyPittsBurgh();
pi.fuzzyPittsburghModelling(tty, pc);
}
/**
* This public static method runs the algorithm that this class concerns with.
*
* @param args Array of strings to sent parameters to the main program. The path of the
* algorithm's parameters file must be given.
*/
public static void main(String args[]) {
boolean tty = false;
ProcessConfig pc = new ProcessConfig();
System.out.println("Reading configuration file: " + args[0]);
if (pc.fileProcess(args[0]) < 0) return;
int algo = pc.parAlgorithmType;
rand = new Randomize();
rand.setSeed(pc.parSeed);
ClusterKMeans km = new ClusterKMeans();
km.clustering_kmeans(tty, pc);
}
/**
* This method reads a configuration file and calls statisticalTest with appropriate values to run
* the Mann Whitney U test for classification problems, defined in StatTest class
*
* @param args A string that contains the command line arguments
*/
public static void main(String args[]) {
boolean tty = false;
ProcessConfig pc = new ProcessConfig();
System.out.println("Reading configuration file: " + args[0]);
if (pc.fileProcess(args[0]) < 0) return;
int algorithm = pc.parAlgorithmType;
rand = new Randomize();
rand.setSeed(pc.parSeed);
ParseFileList pl = new ParseFileList();
pl.statisticalTest(StatTest.MannWhitneyC, tty, pc);
}