Skip to main content
Have a personal or library account? Click to login
Impact of Learners’ Quality and Diversity in Collaborative Clustering Cover

Impact of Learners’ Quality and Diversity in Collaborative Clustering

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 2 (April 2019)
By: Parisa Rastin,  Basarab Matei,  Guénaël Cabanes,  Nistor Grozavu and  Younès Bennani  
Open Access
|Dec 2018
Authors

Authors

Parisa Rastin

rastin@lipn.univ-paris13.fr

LIPN, UMR CNRS, Institut Galile, Universit Paris, Villetaneuse

Basarab Matei

LIPN, UMR CNRS, Institut Galile, Universit Paris, Villetaneuse

Guénaël Cabanes

LIPN, UMR CNRS, Institut Galile, Universit Paris, Villetaneuse

Nistor Grozavu

LIPN, UMR CNRS, Institut Galile, Universit Paris, Villetaneuse

Younès Bennani

LIPN, UMR CNRS, Institut Galile, Universit Paris, Villetaneuse
DOI: https://doi.org/10.2478/jaiscr-2018-0030
Journal RSS Feed
Language: English
Page range: 149 - 165
Submitted on: Jan 28, 2018
Accepted on: Jul 3, 2018
Published on: Dec 31, 2018
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
collaborative clustering,
topological neural networks,
unsupervised learning,
diversity,
quality
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2018 Parisa Rastin, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 9 (2019): Issue 2 (April 2019)
Previous article