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arXiv · 0905.4138

Faster estimation of the correlation fractal dimension using box-counting

Christos Attikos·Michael Doumpos
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Abstract

Fractal dimension is widely adopted in spatial databases and data mining, among others as a measure of dataset skewness. State-of-the-art algorithms for estimating the fractal dimension exhibit linear runtime complexity whether based on box-counting or approximation schemes. In this paper, we revisit a correlation fractal dimension estimation algorithm that redundantly rescans the dataset and, extending that work, we propose another linear, yet faster and as accurate method, which completes in a single pass.

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Christos Attikos, Michael Doumpos. 2009-05-26. Faster estimation of the correlation fractal dimension using box-counting. https://arxiv.org/abs/0905.4138

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