nd.csd | R Documentation |
L_2
Distance of Continuous Spectral DensitiesThe method employs spectral density of eigenvalues from
Laplacian in that for each, we have corresponding
spectral density \rho(w)
as a sum of
narrow Lorentz distributions with bandwidth
parameter.
Since it involves integration of a function over the
non-compact domain, it may blow up to infinity and the code
automatically aborts the process.
nd.csd(A, out.dist = TRUE, bandwidth = 1)
A |
a list of length |
out.dist |
a logical; |
bandwidth |
common bandwidth of positive real number. |
a named list containing
an (N\times N)
matrix or dist
object containing pairwise distance measures.
an (N\times M-1)
matrix where each row is top-M-1
vibrational spectra.
ipsen_evolutionary_2002NetworkDistance
## load example data
data(graph20)
## compute distance matrix
output = nd.csd(graph20, out.dist=FALSE, bandwidth=1.0)
## visualize
opar = par(no.readonly=TRUE)
par(pty="s")
image(output$D[,20:1], main="two group case", axes=FALSE, col=gray(0:32/32))
par(opar)
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