Big data naturally rescaled. (September 2016)

• Record Type: Journal Article
• Authors: Stoop, Ruedi; Kanders, Karlis; Lorimer, Tom; Held, Jenny; Albert, Carlo
• Is Part Of: Chaos, solitons and fractals. Volume 90(2016)
• Page Start: 81
• Page End: 90
• Publication Date: 2016-09
• Subjects: Complex systems -- Complex networks -- Dynamical systems -- Physiological networks -- Power laws -- Biological modeling -- Clustering algorithms; Chaotic behavior in systems -- Periodicals; Solitons -- Periodicals; Fractals -- Periodicals; Chaotic behavior in systems; Fractals; Solitons; Periodicals; 003.7
• DOI: 10.1016/j.chaos.2016.02.035
• Languages: English
• ISSNs: 0960-0779

Abstract

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.