package cn.edu.bjut.chapter5;

import java.util.Random;

import fr.lri.tao.apro.ap.Apro;
import fr.lri.tao.apro.ap.AproBuilder;
import fr.lri.tao.apro.data.DataProvider;
import fr.lri.tao.apro.data.MatrixProvider;

public class APClustering {
	public static void main(String[] args) {
		Random rand = new Random(20241015); 
		
		double[][] similarity = new double[50][50]; 
		for (int i = 0; i < similarity.length - 1; i++) {
			similarity[i][i] = 10.0; 
			for (int j = i + 1; j < similarity[i].length; j++) {
				similarity[i][j] = similarity[j][i] = rand.nextDouble(); 
			}
		}
			
		DataProvider provider = new MatrixProvider(similarity);
		AproBuilder builder = new AproBuilder(); 
		builder.setFullAuto(); 
		Apro apro = builder.build(provider);
		apro.run(200);
		
		int[] exemplars = apro.getExemplars(); 
		for (int nodeId = 0; nodeId < exemplars.length; nodeId++) {
			System.out.println(nodeId + ": " + exemplars[nodeId]); 
		}
	}
}