本文主要是介绍机器学习一:k均值算法用processing实现,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!
代码仅供参考,请勿抄袭。转载请注明出处。 class Point{float x , y;int k;Point(float x1,float y1){x=x1;y=y1;} } class Type{int k;int num=0;float x_old , y_old;float x_new , y_new;int r = 0 , g = 0 , b = 0; } int num = 500; float dx = 1, dy = 1;// int k = 3; int k_max = 5; int len = 0; int iritation = 10000; boolean flag=true; Point [] Points = new Point [num]; Type [] Types = new Type [k_max]; void nearK(){for(int i = 0 ; i < len ; i++){float min = width * height;int index = -1;for(int j = 0 ; j < k ; j++){float r = dist(Points[i].x,Points[i].y,Types[j].x_old,Types[j].y_old);if(r < min){min = r;index = j;}}if(index == -1)print("what??");else{Points[i].k=index;Types[index].num++;}} } void renew(){for(int i = 0 ; i < len ; i++){int u=Points[i].k;println("now"+u);Types[u].x_new += Points[i].x;Types[u].y_new += Points[i].y;}for(int i = 0 ; i < k ; i++){println(i+"num"+Types[i].num);Types[i].x_new=Types[i].x_new/Types[i].num;Types[i].y_new=Types[i].y_new/Types[i].num;println("xnew"+Types[i].x_new,"ynew"+Types[i].y_new);Types[i].num=1;if(abs(Types[i].x_new-Types[i].x_old)>dx){flag = true;Types[i].x_old=Types[i].x_new;}if(abs(Types[i].y_new-Types[i].y_old)>dy){flag = true;Types[i].y_old=Types[i].y_new;}} } void origin(){for(int i = 0 ; i < k; i++){int u = int(random(0,len-1));int v = int(random(0,255));Type T = new Type();T.x_old = Points[u].x;T.y_old = Points[u].y;T.r =v;v = int(random(0,255));T.g =v;v = int(random(0,255));T.b =v;Types[i] = T;}// print(Types.length); } void mousePressed(){Point p = new Point(mouseX, mouseY);Points[len]=p; // print(Points[len].x);rect(mouseX,mouseY,5,5);len++; } void setup(){size(500,500);background(255,255,255); } void draw(){if(keyPressed){if(key == 'S' || key == 's'){int ire=0;background(255,255,255);origin();nearK();renew();for(int i = 0; i <iritation; i++){ire++;if(flag){flag=false;nearK();renew();}elsebreak;}for(int i = 0; i < len; i++){int u=Points[i].k;fill(Types[u].r,Types[u].g,Types[u].b);rect(Points[i].x,Points[i].y,7,7);textSize(20);text(u,Points[i].x+9,Points[i].y+10);}print("ire"+ire);}} } void keyPressed(){int p=0;if((key == 'l' || key == 'L')&&flag == true && p<iritation){// boolean flag=false;int ire=0;background(255,255,255);p++;flag=false;origin();nearK();renew();for(int j=0; j<k;j++){fill(255);rect(Types[j].x_old,Types[j].y_old,10,10);}for(int i = 0; i < len; i++){int u=Points[i].k;fill(Types[u].r,Types[u].g,Types[u].b);rect(Points[i].x,Points[i].y,7,7);textSize(20);text(u,Points[i].x+9,Points[i].y+10);}for(int i=0; i<k;i++){fill(255);rect(Types[i].x_old,Types[i].y_old,10,10);}print("ire"+ire);} }
本代码用的语言是processing:官网链接https://processing.org/reference/
由于是beta版本,所以很有潜力。
实现的是k-mean算法。初始的质心是随机生成的。个数是定好的,节点想多少自己点。
运转算法:
这篇关于机器学习一:k均值算法用processing实现的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!