Using NbClust for Number of clusters in gene expression data does not work

I have a normalized gene expression data, with 2800 rows and 600 columns. I need to find the number of clusters, I am trying to use NbClust function to calculate the number of clusters using different methods and to use majority rule to choose the number which occurs the most. But I get the following error:

library(NbClust) nb <- NbClust(ranked.expr, distance = NULL, min.nc = 2, max.nc = 10, method = "complete", index ="all")

But I am getting the error:

Error in NbClust(ranked.exprs[1:2825, 1:598], distance = NULL, min.nc = 2, : The TSS matrix is indefinite. There must be too many missing values. The index cannot be calculated.

Any hints what could be the reason and how can I make it to work?