Publications

Comparison Between Single and Multi-Objective Clustering Algorithms: Mathe Case Study

AuthID
P-017-SR5

Author(s)

Azevedo, BF

Rocha, AMAC

Fernandes, FP

Pacheco, MF

Pereira, AI

Editor(s)

Pereira,AI;Fernandes,FP;Coelho,JP;Teixeira,JP;Lima,J;Pacheco,MF;Lopes,RP;Alvarez,ST

Document Type

Proceedings Paper

Year published

2024

Published

in OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2024, PT I in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 2280, Pages: 65-80 (16)

Conference

4Th International Conference on Optimization Learning Algorithms and Applications, Date: JUL 24-26, 2024, Location: Santa Cruz de Tenerife, SPAIN

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-77426-3_5

Scopus: 2-s2.0-85214426078

Wos: WOS:001450990400005

Source Identifiers

ISSN: 1865-0929

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Comparison Between Single and Multi-Objective Clustering Algorithms: Mathe Case Study

Useful Links

Get Help

Federated Authentication (Click on the image)

Comparison Between Single and Multi-Objective Clustering Algorithms: Mathe Case Study

Useful Links

Get Help