K Cluster Method

General
1

Please I keep getting this error :

> cluster_up <- kmeans(customer_data, 3, iter.max = 10)
Error in do_one(nmeth) : NA/NaN/Inf in foreign function call (arg 1)
In addition: Warning message:
In storage.mode(x) <- "double" : NAs introduced by coercion

The code I am tring to run is

 View(customer_data)
str(customer_data)

cluster_up <- kmeans(customer_data, 3, iter.max = 10)

#data cleaning

del_vars <- names(customer_data) %in% c("job", "marital", "education", "default", "housing", "loan", "contact", "month", "poutcome")
customer_data_num <- customer_data[!del_vars]
customer_data_num <- na.omit(customer_dat_num)
customer_data_num <- scale(customer_dat_num)
View(customer_dat_num)


#k-means clusterig
cluster_up <- kmeans(customer_dat_num, 3, iter.max = 5)
str(cluster_up)

Please assist

2

Could you please turn this into a self-contained reprex (short for reproducible example)? It will help us help you if we can be sure we're all working with/looking at the same stuff.

install.reprex("reprex")

If you've never heard of a reprex before, you might want to start by reading the tidyverse.org help page. The reprex dos and don'ts are also useful.

What to do if you run into clipboard problems

If you run into problems with access to your clipboard, you can specify an outfile for the reprex, and then copy and paste the contents into the forum.

reprex::reprex(input = "fruits_stringdist.R", outfile = "fruits_stringdist.md")

For pointers specific to the community site, check out the reprex FAQ, linked to below.

1 Like