Article,

Practical considerations in estimating dimension from time series data

, and .
Physica Scripta, 40 (3): 436 (1989)

Abstract

A numerical comparison is made of algorithms for computing the dimension of attractors using the Grassberger-Procaccia correlation dimension and the Badii-Politi nearest neighbor approach. Using experimentally realizable data sets, the nearest neighbor method appears to have the better power law behavior when the attractor dimension is between 3 and 7.

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