Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1891065 | Chaos, Solitons & Fractals | 2016 | 10 Pages |
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
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Ruedi Stoop, Karlis Kanders, Tom Lorimer, Jenny Held, Carlo Albert,