gap_clus: Gap Statistics
In JacopoDior/funBI: a Biclustering Algorithm for Functional Data

calculates a goodness of clustering measure, the gap statistic.

1 2	gap_clus(mat, hc, K.max, B, d.power = 1, spaceH0 = c("scaledPCA", "original"))

`mat`	a matrix
`hc`	a hierarchy resulting from DIANA
`K.max`	the maximum number of clusters to consider, must be at least two.
`B`	integer value, number of Monte Carlo (“bootstrap”) samples

An object of S3 class "clusGap", basically a list with components:

Tab: a matrix with K.max rows and 4 columns, named "logW", "E.logW", "gap", and "SE.sim"
call: the function call
spaceH0: the spaceH0 argument
n: number of observation
B: input B