Bagged clustering and fuzzy c-means

Dear All:
I'm a newbie to R and chemometrics.
Now I'm trying apply bclust on fuzzy c-means like this:

bc1 <- bclust(iris[,1:4], 3, base.centers=20,iter.base=100,

base.method="cmeans")
Committee Member:
1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)Erro
r in bclust(iris[, 1:4], 3, base.centers = 20, iter.base = 100, base.method
= "cmeans") :
        Could not find valid cluster solution in 20 replications
I can't get any valid result with many parameter adjustments, such as
iter.base, base.centers etc. But I think fcm should return similar result
just like k-means (e.g. centers, cluster size) plus fuzzy membership
information. Can anyone explain this for me?
Besides, I'm not quite understand the meaning of "bootstrap". In my view, it
might means "independent", am I correct?
Thank you very much for your help!

Yun Xu
School of chemistry
University of Bristol