如何修复r中的kmeans错误：“聚类中心多于不同的数据点”

Question

当我运行kmeans算法时，我收到这个错误：

Error in kmeans(x, 2, 15) : 
  more cluster centers than distinct data points.

如何修复这个错误?它意味着什么？我想我的数据点是不是很清晰？

下面是我的文件和我用来生成kmeans的r代码：

rnames.csv : 
"a1","a2","a3"

cells.csv : 
0,1,2,1,4,3,5,3,4

cnames.csv : 
"google","so","test"

cells = c(read.csv("c:\\data-files\\kmeans\\cells.csv", header = TRUE))
rnames = c(read.csv("c:\\data-files\\kmeans\\rnames.csv", header = TRUE))
cnames = c(read.csv("c:\\data-files\\kmeans\\cnames.csv", header = TRUE))

x <- matrix(cells, nrow=3, ncol=3, byrow=TRUE, dimnames=list(rnames, cnames))

# run K-Means
km <- kmeans(x, 2, 15)

Answer 1

解决这个问题的方法是：

cells = c(read.csv("c:\\data-files\\kmeans\\cells.csv", header = FALSE))
rnames = c(read.csv("c:\\data-files\\kmeans\\rnames.csv", header = FALSE))
cnames = c(read.csv("c:\\data-files\\kmeans\\cnames.csv", header = FALSE))

而不是

cells = c(read.csv("c:\\data-files\\kmeans\\cells.csv", header = TRUE))
rnames = c(read.csv("c:\\data-files\\kmeans\\rnames.csv", header = TRUE))
cnames = c(read.csv("c:\\data-files\\kmeans\\cnames.csv", header = TRUE))