如何找到k均值聚类的数值区间?

由于您没有提供数据,我使用了 kmeans 文档,它为具有两列x和y的数据生成两组。您可以 split 将原始数据按每行所属的集群,然后从每个组中提取数据。我不确定我的示例数据是否与您的数据相似,但在下面的代码中,我只是使用了 min x列值和 max 列y的值作为潜在间隔的边界(取决于用例,这是否合理)。这对你有帮助吗?

data <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2),
           matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2))
colnames(data) <- c("x", "y")

cl <- kmeans(data, 2)

data <- as.data.frame(cbind(data, cluster = cl$cluster))

lapply(split(data,  data$cluster), function(x) {
  min_x <- min(x$x)
  max_y <- max(x$y)
  diff <- max_y-min_x
  c(min_x = min_x , max_y = max_y, diff = diff) 
})

# $`1`
# min_x      max_y       diff 
# -0.6906124  0.5123950  1.2030074 
# 
# $`2`
# min_x     max_y      diff 
# 0.2052112 1.6941800 1.4889688