A Theoretical Framework for Supporting Clustering Validation via Non-Negative-Matrix-Factorization Trace Sequences Over Probabilistic Spaces

  1. Cuzzocrea, A.
  2. Figuera, P.
  3. Hajian, M.
  4. Bringas, P.G.
Actas:
2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

ISBN: 9798350304602

Año de publicación: 2023

2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

Páginas: 1080-1087

Tipo: Aportación congreso

DOI: 10.1109/DASC/PICOM/CBDCOM/CY59711.2023.10361428 GOOGLE SCHOLAR

Objetivos de desarrollo sostenible

Fuente de los datos: Scopus