基于距离的噪声检测

代码

from numpy import * #导入numpy的库函数 import numpy as np s1=np.array([1,2,0]) s2=np.array([3,1,4]) s3=np.array([2,1,5]) s4=np.array([0,1,6]) s5=np.array([2,4,3]) s6=np.array([4,4,2]) s=np.array([s1,s2,s3,s4,s5,s6]) def ed(m, n): return np.sqrt(np.sum((m - n) ** 2)) i=0 for i in range(len(s)): j,k=0,0 for j in range(len(s)): distance=float(format(ed(s[i],s[j]),'.3f')) if distance>4: k=k+1 j=j+1 i=i+1 if k>2: print("可选择S",i,"作为噪声数据")

** 运行结果**