Big data naturally rescaled. (September 2016)
- Record Type:
- Journal Article
- Title:
- Big data naturally rescaled. (September 2016)
- Main Title:
- Big data naturally rescaled
- Authors:
- Stoop, Ruedi
Kanders, Karlis
Lorimer, Tom
Held, Jenny
Albert, Carlo - 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.
- Is Part Of:
- Chaos, solitons and fractals. Volume 90(2016)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 90(2016)
- Issue Display:
- Volume 90, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 90
- Issue:
- 2016
- Issue Sort Value:
- 2016-0090-2016-0000
- 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 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2016.02.035 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 611.xml