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Enhancing the Speed of the Learning Vector Quantization (LVQ) Algorithm by Adding Partial Distance Computation Cover

Enhancing the Speed of the Learning Vector Quantization (LVQ) Algorithm by Adding Partial Distance Computation

Cybernetics and Information Technologies
Volume 22 (2022): Issue 2 (June 2022)
By: Orieb AbuAlghanam,  Omar Adwan,  Mohammad A. Al Shariah and  Mohammad Qatawneh  
Open Access
|Jun 2022

Authors

Orieb AbuAlghanam

o.abualghanam@ammanu.edu.jo

Department of Networks and Information Security, Faculty of Information Technology, Al-Ahliyya Amman University, Amman, Jordan

Omar Adwan

adwanoy@ammanu.edu.jo

Department of Computer Science, Faculty of Information Technology, Al-Ahliyya Amman University, Amman, Jordan
Department of Computer Science, King Abdulla II School for Information Technology, University of Jordan, Amman, Jordan

Mohammad A. Al Shariah

m.sharaiah@ammanu.edu.jo

Department of Data Science and Artificial Intelligence, Al-Ahliyya Amman University, Amman, Jordan

Mohammad Qatawneh

mohd.qat@ju.edu.jo

Department of Computer Science, King Abdulla II School for Information Technology, University of Jordan, Amman, Jordan
DOI: https://doi.org/10.2478/cait-2022-0015 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 36 - 49
Submitted on: Mar 1, 2022
|
Accepted on: Mar 29, 2022
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Published on: Jun 23, 2022
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Classification,
LVQ,
partial distance computation,
PDLVQ,
SOM
Related subjects:
Computer sciences,
Information technology

© 2022 Orieb AbuAlghanam, Omar Adwan, Mohammad A. Al Shariah, Mohammad Qatawneh, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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