do.hilbert: Generate the Hilbert Index from a Cut Reference Matrix

In yannabraham/hilbertSimilarity: Hilbert Similarity Index for High Dimensional Data

Description

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

Usage

do.hilbert(mat, horder)

Arguments

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

Details

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

Value

a vector of indices, one for each line in mat

Author(s)

Marilisa Neri

Yann Abraham

John Skilling (for the original C function)

Examples

# 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')

yannabraham/hilbertSimilarity documentation built on Dec. 4, 2019, 3:05 p.m.