Big data naturally rescaled

Ruedi Stoop, Karlis Kanders, Tom Lorimer, Jenny Held and Carlo Albert

Chaos, Solitons & Fractals, 2016, vol. 90, issue C, 81-90

Abstract: We propose that a handle could be put on big data by looking at the systems that actually generate the data, rather than the data itself, realizing that there may be only few generic processes involved in this, each one imprinting its very specific structures in the space of systems, the traces of which translate into feature space. From this, we propose a practical computational clustering approach, optimized for coping with such data, inspired by how the human cortex is known to approach the problem.

Keywords: Complex systems; Complex networks; Dynamical systems; Physiological networks; Power laws; Biological modeling; Clustering algorithms (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:90:y:2016:i:c:p:81-90

DOI: 10.1016/j.chaos.2016.02.035

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