[英]how to solve error : Error in storage.mode(x) <- "double" : 'list' object cannot be coerced to type 'double'
Hello Im trying to run som and kmeans analysis.您好我正在尝试运行 som 和 kmeans 分析。 But I can't solve it because there's an error code.但我无法解决它,因为有一个错误代码。 Error in storage.mode(x) <- "double": 'list' object cannot be coerced to type 'double' storage.mode(x) <-“double”中的错误:“list”object 不能强制输入“double”
How can I solve this problem?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$codes, centers = 6)
I want to culstering into 6 clusters.我想聚集成 6 个集群。 Please help me请帮我
I use this data.我使用这些数据。 https://github.com/woosa7/R_DataAnalytics/blob/08ea98289f4def3c4f72d4c10d3767784b42619b/R_DataMining/data/Cluster.txt https://github.com/woosa7/R_DataAnalytics/blob/08ea98289f4def3c4f72d4c10d3767784b42619b/R_DataMining/data/Cluster.txt
Try unlist
:尝试unlist
:
somClusters <- kmeans(unlist(som_model2$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"
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.