package ca.pfv.spmf.test;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URL;
import java.util.List;
import ca.pfv.spmf.algorithms.clustering.dbscan.AlgoDBSCAN;
import ca.pfv.spmf.patterns.cluster.Cluster;
import ca.pfv.spmf.patterns.cluster.DoubleArray;
/**
* Example of how to use the DBSCAN algorithm, in source code.
*/
public class MainTestDBSCAN_saveToMemory {
public static void main(String []args) throws NumberFormatException, IOException{
String input = fileToPath("inputDBScan.txt");
// we set the parameters of DBScan:
int minPts=2;
double epsilon = 5d;
// We specify that in the input file, double values on each line are separated by spaces
String separator = " ";
// Apply the algorithm
AlgoDBSCAN algo = new AlgoDBSCAN();
List<Cluster> clusters = algo.runAlgorithm(input, minPts, epsilon, separator);
algo.printStatistics();
// Print the clusters found by the algorithm
// For each cluster:
int i=0;
for(Cluster cluster : clusters) {
System.out.println("Cluster " + i++);
// For each data point:
for(DoubleArray dataPoint : cluster.getVectors()) {
System.out.println(" " + dataPoint);
}
}
}
public static String fileToPath(String filename) throws UnsupportedEncodingException{
URL url = MainTestDBSCAN_saveToMemory.class.getResource(filename);
return java.net.URLDecoder.decode(url.getPath(),"UTF-8");
}
}