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Exploiting multi–core and many–core parallelism for subspace clustering Cover

Exploiting multi–core and many–core parallelism for subspace clustering

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 1 (March 2019)
By: Amitava Datta,  Amardeep Kaur,  Tobias Lauer and  Sami Chabbouh  
Open Access
|Mar 2019

Authors

Amitava Datta

School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia

Amardeep Kaur

School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia

Tobias Lauer

tobias.lauer@hs-offenburg.de

Department of Electrical Engineering and Information Technology, Offenburg University of Applied Sciences, Offenburg, Germany

Sami Chabbouh

Department of Electrical Engineering and Information Technology, Offenburg University of Applied Sciences, Offenburg, Germany
DOI: https://doi.org/10.2478/amcs-2019-0006 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 81 - 91
Submitted on: Feb 10, 2018
Accepted on: Sep 16, 2018
Published on: Mar 29, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
data mining,
subspace clustering,
multi-core,
many-core,
GPU computing
Related subjects:
Mathematics,
Applied mathematics

© 2019 Amitava Datta, Amardeep Kaur, Tobias Lauer, Sami Chabbouh, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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