est.packing | R Documentation |
Instead of covering numbers which are expensive to compute in many fractal-based methods,
est.packing
exploits packing numbers as a proxy to describe spatial density. Since
it involves random permutation of the dataset at each iteration, every run might have
different results.
est.packing(X, eps = 0.01)
X |
an (n\times p) matrix or data frame whose rows are observations. |
eps |
small positive number for stopping threshold. |
a named list containing containing
estimated intrinsic dimension.
Kisung You
kegl_intrinsic_2002Rdimtools
## create 'swiss' roll dataset X = aux.gensamples(dname="swiss") ## try different eps values out1 = est.packing(X, eps=0.1) out2 = est.packing(X, eps=0.01) out3 = est.packing(X, eps=0.001) ## print the results line1 = paste0("* est.packing : eps=0.1 gives ",round(out1$estdim,2)) line2 = paste0("* est.packing : eps=0.01 gives ",round(out2$estdim,2)) line3 = paste0("* est.packing : eps=0.001 gives ",round(out3$estdim,2)) cat(paste0(line1,"\n",line2,"\n",line3))
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