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no. of cluster = 10, data points = 6000
library(ppclust)
cm <- fcm(x,centers = cen)
takes ~ 10 minutes
library(e1071)
cm <- cmeans(x,cen,1000)
takes ~ 1 minute
the only reason I prefer ppclust is because it allows nstart, meaning I am not stuck with local optima.
Given both are doing same thing, why is one taking 10x time then other?
Look at the source code. The guts of e1071::cmeans are written in C, but ppclust::fcm looks like all R and has some ugly looking eval stuff which might make it dead slow.
