I want to compare the clustering algorithm, but it has an error because ncol too large.
my dataset has 155 column and 1900 observations.
and I also have another dataset that has 300 column and 1900 observations.
how should i do?
> sapply(list(HC=hc, DTW = pc_dtw, kShape = pc_sbd, FuzzyM = fcm),
+ cvi, b = lst_label, type = "VI") #Internal, Minimize
Error in matrix(0L, nrow(a), max(b)) :
invalid 'ncol' value (too large or NA)
In addition: There were 50 or more warnings (use warnings() to see the first 50)
What's the format of lst_label? For specific issues, it really helps to have a reproducible example. I have a feeling it's related to your fcm data, but I'm not sure why.
I want to compare the clustering algorithm, but it has an error because ncol too large. my dataset has 155 column and 1900 observations. and I also have another dataset that has 300 column and 1900 observations.
how should i do?