Fractal Dimension of Strange Attractors from Radius versus Size of Arbitrary Clusters

Abstract
A fractal dimension DF of strange attractors is estimated as follows. Clusters of n nearest-neighbor points are sampled from a time series; DF is found from R¯DFn where R¯ is the average cluster's radius. The estimation of DF is shown to be especially efficient for high dimensional systems.

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