do.hilbert: Generate the Hilbert Index from a Cut Reference Matrix
In hilbertSimilarity: Hilbert Similarity Index for High Dimensional Data

Description Usage Arguments Details Value Author(s) Examples

Generate the Hilbert Index corresponding to the sub-spaces defined by the coordinates generated via do.cut

1	do.hilbert(mat, horder)

`mat`	the cut reference matrix
`horder`	the Hilbert order, i.e. the number of bins in each dimension

For each line in mat, the function will compute the corresponding Hilbert index. Each index corresponds to a specific sub-cube of the original high-dimensional space, and consecutive hilbert index correspond to adjacent sub-cubes

a vector of indices, one for each line in mat

Marilisa Neri

Yann Abraham

John Skilling (for the original C function)

# generate a random 3D matrix
mat <- matrix(rnorm(300),ncol=3)
dimnames(mat)[[2]] <- LETTERS[1:3]
# generate 2 bins with a minimum bin size of 5
cuts <- make.cut(mat,n=3,count.lim=5)
show.cut(cuts)
# Generate the cuts
cut.mat <- do.cut(mat,cuts,type='fixed')
head(cut.mat)
# generate the Hilber index
hc <- do.hilbert(cut.mat,2)
plot(table(hc),type='l')