来自这个cmeans函数:
x1=c(55,60,75,80)
x2=c(30,20,15,23)
x3=c(4,3,2,6)
x=data.frame(x1,x2,x3)
library(e1071)
fcm=cmeans(x,2,80)
fcm
# Fuzzy c-means clustering with 2 clusters
# Cluster centers:
# v1 v2 v3
# 1 57.40432 25.29914 3.532451
# 2 77.40394 19.06642 4.018641
# Memberships:
# 1 2
# [1,] 0.95674506 0.04325494
# [2,] 0.89673114 0.10326886
# [3,] 0.05938016 0.94061984
# [4,] 0.04769093 0.95230907
# Closest hard clustering:
# [1] 1 1 2 2
从该结果如何仅提取Cluster centers
部分:
如何在r ???没有变量名称
1 57.40432 25.29914 3.532451
2 77.40394 19.06642 4.018641
答案 0 :(得分:2)
此矩阵由fcm$centers
给出。