Impact of Learners’ Quality and Diversity in Collaborative Clustering Cover

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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

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

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Language: English

Page range: 149 - 165

Submitted on: Jan 28, 2018

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Accepted on: Jul 3, 2018

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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,

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.

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