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

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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¯DF′∼n 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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