Rdimtools (version 1.1.2)

est.nearneighbor1: Intrinsic Dimension Estimation with Near-Neighbor Information

Description

Based on an assumption of data points being locally uniformly distributed, est.nearneighbor1 estimates the intrinsic dimension based on the local distance information in an iterative manner.

Usage

est.nearneighbor1(X, K = max(2, round(ncol(X)/5)))

Value

a named list containing containing

estdim

estimated intrinsic dimension.

Arguments

X

an \((n\times p)\) matrix or data frame whose rows are observations.

K

maximum neighborhood size, smaller than \(p\).

Author

Kisung You

References

pettis_intrinsic_1979Rdimtools

Examples

# \donttest{
## create an example data with intrinsic dimension 2
X = cbind(aux.gensamples(dname="swiss"),aux.gensamples(dname="swiss"))

## acquire an estimate for intrinsic dimension
output = est.nearneighbor1(X)
sprintf("* est.nearneighbor1 : estimated dimension is %.2f.",output$estdim)
# }