欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页  >  后端开发

python实现k均值算法示例(k均值聚类算法)

程序员文章站 2022-06-08 14:18:59
...
简单实现平面的点K均值分析,使用欧几里得距离,并用pylab展示。

复制代码 代码如下:

import pylab as pl

#calc Euclid squire
def calc_e_squire(a, b):
return (a[0]- b[0]) ** 2 + (a[1] - b[1]) **2

#init the 20 point
a = [2,4,3,6,7,8,2,3,5,6,12,10,15,16,11,10,19,17,16,13]
b = [5,6,1,4,2,4,3,1,7,9,16,11,19,12,15,14,11,14,11,19]

#define two k_value
k1 = [6,3]
k2 = [6,1]

#defint tow cluster
sse_k1 = []
sse_k2 = []
while True:
sse_k1 = []
sse_k2 = []
for i in range(20):
e_squire1 = calc_e_squire(k1, [a[i], b[i]])
e_squire2 = calc_e_squire(k2, [a[i], b[i]])
if (e_squire1 sse_k1.append(i)
else:
sse_k2.append(i)

#change k_value
k1_x = sum([a[i] for i in sse_k1]) / len(sse_k1)
k1_y = sum([b[i] for i in sse_k1]) / len(sse_k1)

k2_x = sum([a[i] for i in sse_k2]) / len(sse_k2)
k2_y = sum([b[i] for i in sse_k2]) / len(sse_k2)

if k1 != [k1_x, k1_y] or k2 != [k2_x, k2_y]:
k1 = [k1_x, k1_y]
k2 = [k2_x, k2_y]
else:
break

kv1_x = [a[i] for i in sse_k1]
kv1_y = [b[i] for i in sse_k1]

kv2_x = [a[i] for i in sse_k2]
kv2_y = [b[i] for i in sse_k2]

pl.plot(kv1_x, kv1_y, 'o')
pl.plot(kv2_x, kv2_y, 'or')

pl.xlim(1, 20)
pl.ylim(1, 20)
pl.show()

python实现k均值算法示例(k均值聚类算法)

声明:本文内容由网友自发贡献,版权归原作者所有,本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容,请联系admin@php.cn核实处理。

相关文章

相关视频


网友评论

文明上网理性发言,请遵守 新闻评论服务协议

我要评论
  • python实现k均值算法示例(k均值聚类算法)
  • 专题推荐