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"); } }