📄 km.txt
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Kmeans算法的java实现
/*
* Kmeans.java
*
* Created on 2007年1月22日, 下午12:46
*
* To change this template, choose Tools | Template Manager
* and open the template in the editor.
*/
package edu.whu.iss.idle.kmeans;
/**
*
* @author He Jian
*/
public class Kmeans {
private static int K = 2; // 类数(簇) 此程序为2
private static int TOTAL = 20; // 点个数 此程序为20
private int test = 0;
private Point[] unknown = new Point[TOTAL]; // 点数组
private int[] type = new int[TOTAL]; // 每个点暂时的类(簇)
private Point[] z = new Point[K];// 保存新的聚类中心
private Point[] z0 = new Point[K]; // 保存上一次的聚类中心
private Point sum = new Point(0.0,0.0);
private int temp = 0;
private int I = 0; // 迭代次数
/** Creates a new instance of Kmeans */
public Kmeans() {
/** 进行聚类运算的20个点 */
unknown[0] = new Point(0,0);
unknown[1] = new Point(1,0);
unknown[2] = new Point(0,1);
unknown[3] = new Point(1,1);
unknown[4] = new Point(2,1);
unknown[5] = new Point(1,2);
unknown[6] = new Point(2,2);
unknown[7] = new Point(3,2);
unknown[8] = new Point(6,6);
unknown[9] = new Point(7,6);
unknown[10] = new Point(8,6);
unknown[11] = new Point(6,7);
unknown[12] = new Point(7,7);
unknown[13] = new Point(8,7);
unknown[14] = new Point(9,7);
unknown[15] = new Point(7,8);
unknown[16] = new Point(8,8);
unknown[17] = new Point(9,8);
unknown[18] = new Point(8,9);
unknown[19] = new Point(9,9);
for(int i = 0;i < TOTAL; i++){
type[i] = 0;
}
for(int i = 0; i < K; i++){
z[i] = unknown[i]; // 伪随机选取
z0[i] = new Point(0.0,0.0);
}
}
/** 计算新的聚类中心 */
public Point newCenter(int m){
int n = 0;
for(int i = 0;i < TOTAL; i++){
if(type[i] == m){
sum.setX(sum.getX() + unknown[i].getX());
sum.setY(sum.getY() + unknown[i].getY());
n += 1;
}
}
sum.setX(sum.getX() / n);
sum.setY(sum.getY() / n);
return sum;
}
/** 比较两个聚类中心是否相等 */
public boolean isEqual(Point p1,Point p2){
if(p1.getX() * 10 == p2.getX() * 10 && p1.getY() * 10 == p2.getY() * 10)
return true;
else
return false;
}
/** 计算两点之间的欧式距离 */
public static double distance(Point p1,Point p2){
return (p1.getX() - p2.getX()) * (p1.getX() - p2.getX()) +
(p1.getY() - p2.getY()) * (p1.getY() - p2.getY());
}
/** 进行迭代,对TOTAL个样本根据聚类中心进行分类 */
public void order(){
int temp = 0; // 记录unknown[i]暂时在哪个类中
for(int i = 0; i < TOTAL;i ++){
for(int j = 0; j < 2;j++){
if(distance(unknown[i],z[temp]) > distance(unknown[i],z[j]))
temp = j;
}
type[i] = temp;
System.out.println("经比较后," + unknown[i].toString() + "被归为" + temp +"类" );
}
}
public void main(){
System.out.println("共有如下个未知样本:");
for(int i = 0; i < TOTAL;i++){
System.out.println(unknown[i]);
//System.out.println("初始时,第" + i + "类中心:" + z[i].toString());
}
for(int i = 0; i < K;i++)
System.out.println("初始时,第" + i + "类中心:" + z[i].toString());
while(test != K){
order();
for(int i = 0; i < K;i ++){
z[i] = newCenter(i);
System.out.println("第" + i + " 类新中心:" + z[i].toString());
if(isEqual(z[i],z0[i]))
test += 1;
else
z0[i] = z[i];
}
I += 1;
System.out.println("已完成第" + I + "次迭代");
System.out.println("分类后有:");
for(int j = 0;j < K;j++){
System.out.println("第" + j + "类分类有: ");
for(int i = 0;i < TOTAL;i++){
if(type[i] == j)
System.out.println(unknown[i].toString());
}
}
}
}
public static void main(String[] args){
new Kmeans().main();
}
}
/*
* Point.java
*
* Created on 2007年1月22日, 下午12:50
*
* To change this template, choose Tools | Template Manager
* and open the template in the editor.
*/
package edu.whu.iss.idle.kmeans;
/**
*
* @author He Jian
*/
public class Point {
private double x = 0;
private double y = 0;
/** Creates a new instance of Point */
public Point(double x,double y) {
this.setX(x);
this.setY(y);
}
public double getX() {
return x;
}
public void setX(double x) {
this.x = x;
}
public double getY() {
return y;
}
public void setY(double y) {
this.y = y;
}
public String toString(){
return "[" + x + "," + y + "]";
}
/**
public static void main(String[] args) {
System.out.println(new Point(3,4).toString());
}*/
}
共20个点,簇数为2,点分别是
(0,0);(1,0);(0,1);(1,1);
(2,1);(1,2);(2,2);(3,2);
(6,6);(7,6);(8,6);(6,7);
(7,7);(8,7);(9,7);(7,8);
(8,8);(9,8);(8,9);(9,9)
运行后显示的结果为:
init:
deps-jar:
Compiling 1 source file to E:\workspace\Know\build\classes
compile-single:
run-single:
共有如下个未知样本:
[0.0,0.0]
[1.0,0.0]
[0.0,1.0]
[1.0,1.0]
[2.0,1.0]
[1.0,2.0]
[2.0,2.0]
[3.0,2.0]
[6.0,6.0]
[7.0,6.0]
[8.0,6.0]
[6.0,7.0]
[7.0,7.0]
[8.0,7.0]
[9.0,7.0]
[7.0,8.0]
[8.0,8.0]
[9.0,8.0]
[8.0,9.0]
[9.0,9.0]
初始时,第0类中心:[0.0,0.0]
初始时,第1类中心:[1.0,0.0]
经比较后,[0.0,0.0]被归为0类
经比较后,[1.0,0.0]被归为1类
经比较后,[0.0,1.0]被归为0类
经比较后,[1.0,1.0]被归为1类
经比较后,[2.0,1.0]被归为1类
经比较后,[1.0,2.0]被归为1类
经比较后,[2.0,2.0]被归为1类
经比较后,[3.0,2.0]被归为1类
经比较后,[6.0,6.0]被归为1类
经比较后,[7.0,6.0]被归为1类
经比较后,[8.0,6.0]被归为1类
经比较后,[6.0,7.0]被归为1类
经比较后,[7.0,7.0]被归为1类
经比较后,[8.0,7.0]被归为1类
经比较后,[9.0,7.0]被归为1类
经比较后,[7.0,8.0]被归为1类
经比较后,[8.0,8.0]被归为1类
经比较后,[9.0,8.0]被归为1类
经比较后,[8.0,9.0]被归为1类
经比较后,[9.0,9.0]被归为1类
第0 类新中心:[0.0,0.5]
第1 类新中心:[5.666666666666667,5.361111111111111]
已完成第1次迭代
分类后有:
第0类分类有:
[0.0,0.0]
[0.0,1.0]
第1类分类有:
[1.0,0.0]
[1.0,1.0]
[2.0,1.0]
[1.0,2.0]
[2.0,2.0]
[3.0,2.0]
[6.0,6.0]
[7.0,6.0]
[8.0,6.0]
[6.0,7.0]
[7.0,7.0]
[8.0,7.0]
[9.0,7.0]
[7.0,8.0]
[8.0,8.0]
[9.0,8.0]
[8.0,9.0]
[9.0,9.0]
经比较后,[0.0,0.0]被归为0类
经比较后,[1.0,0.0]被归为0类
经比较后,[0.0,1.0]被归为0类
经比较后,[1.0,1.0]被归为0类
经比较后,[2.0,1.0]被归为0类
经比较后,[1.0,2.0]被归为0类
经比较后,[2.0,2.0]被归为0类
经比较后,[3.0,2.0]被归为0类
经比较后,[6.0,6.0]被归为0类
经比较后,[7.0,6.0]被归为0类
经比较后,[8.0,6.0]被归为0类
经比较后,[6.0,7.0]被归为0类
经比较后,[7.0,7.0]被归为0类
经比较后,[8.0,7.0]被归为0类
经比较后,[9.0,7.0]被归为0类
经比较后,[7.0,8.0]被归为0类
经比较后,[8.0,8.0]被归为0类
经比较后,[9.0,8.0]被归为0类
经比较后,[8.0,9.0]被归为0类
经比较后,[9.0,9.0]被归为0类
第0 类新中心:[5.383333333333334,5.118055555555555]
第1 类新中心:[Infinity,Infinity]
已完成第2次迭代
分类后有:
第0类分类有:
[0.0,0.0]
[1.0,0.0]
[0.0,1.0]
[1.0,1.0]
[2.0,1.0]
[1.0,2.0]
[2.0,2.0]
[3.0,2.0]
[6.0,6.0]
[7.0,6.0]
[8.0,6.0]
[6.0,7.0]
[7.0,7.0]
[8.0,7.0]
[9.0,7.0]
[7.0,8.0]
[8.0,8.0]
[9.0,8.0]
[8.0,9.0]
[9.0,9.0]
第1类分类有:
生成成功(总时间:0 秒)
文件夹中包含3个文件Kmeans.java,Point.java,readme.txt
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