如何解决错误：storage.mode(x) <-“double”中的错误：无法强制“list”对象输入“double”

您好，我正在尝试运行 som 和 kmeans 分析。 但我无法解决它，因为有一个错误代码。 storage.mode(x)

我怎么解决这个问题？

cdata <- read.delim("Cluster.txt", stringsAsFactors=FALSE)
cdata.n <- scale(subset(cdata, select=-c(ID)))
som_model2 <- supersom(data = cdata.n, grid = somgrid(10, 10, "rectangular"))
k = 6
somClusters <- kmeans(som_model2$codes, centers = 6)

我想聚集成6个簇。 请帮我

我用这个数据。https://github.com/woosa7/R_DataAnalytics/blob/08ea98289f4def3c4f72d4c10d3767784b42619b/R_DataMining/data/Cluster.txt

Try unlist:

somClusters <- kmeans(unlist(som_model2$codes), centers = 6)
somClusters

Cluster means:
        [,1]
1 -0.6702128
2  5.2157179
3  1.2555768
4 -0.2632253
5  2.6067733
6  0.3503127

Clustering vector:
  [1] 1 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 6 4 4 4 4 4 4 4
 [50] 4 6 6 4 6 4 4 4 4 4 4 6 3 3 6 6 4 4 4 4 4 3 3 3 3 6 6 4 4 4 4 5 5 3 3 6 6 4 4 4 4 2 5 3 6 6 6 4 6
 [99] 6 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 1 4 1 1 1 1 1 1 4 1 1 1 1 1 6 6 4 4 4 4 1 4 1 1 3 3 6 6 4 4 4
[148] 1 4 4 3 3 6 6 6 4 4 4 4 4 5 5 3 6 4 6 4 4 4 4 5 5 3 6 6 6 6 6 4 4 2 5 3 3 6 6 6 6 4 4 2 5 3 6 3 6
[197] 6 6 4 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 1 1 4 4 4 4 4 3 3 4 4 4
[246] 4 4 4 4 4 3 3 6 4 6 4 6 6 4 4 3 3 6 6 6 6 6 6 6 6 5 3 3 3 3 6 6 6 6 6 5 5 3 3 3 3 3 6 6 6 5 5 5 5
[295] 3 3 3 3 3 6 2 5 3 3 6 6 4 4 4 1 5 5 3 3 6 6 6 4 4 1 5 3 3 6 6 6 4 4 4 1 3 6 6 6 4 6 6 4 4 1 1 1 4
[344] 4 4 4 6 4 4 1 1 1 1 1 4 4 4 4 4 1 1 1 1 1 1 1 4 4 4 1 1 1 1 1 1 1 4 4 4 1 1 1 1 1 1 1 1 1 1 1 1 1
[393] 1 1 1 1 1 1 1 4

Within cluster sum of squares by cluster:
[1] 1.939971 9.714721 4.939015 2.981251 3.051715 3.374086
 (between_SS / total_SS =  93.6 %)

Available components:

[1] "cluster"      "centers"      "totss"        "withinss"     "tot.withinss" "betweenss"   
[7] "size"         "iter"         "ifault"