A meta-learning approach for recommending the number of clusters for clustering algorithms (2020)
Pimentel, Bruno Almeida 
; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIMENTEL, Bruno Almeida e CARVALHO, André Carlos Ponce de Leon Ferreira de. A meta-learning approach for recommending the number of clusters for clustering algorithms. Knowledge-Based Systems, v. 195, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2020.105682. Acesso em: 24 jan. 2026.APA
Pimentel, B. A., & Carvalho, A. C. P. de L. F. de. (2020). A meta-learning approach for recommending the number of clusters for clustering algorithms. Knowledge-Based Systems, 195, 1-14. doi:10.1016/j.knosys.2020.105682NLM
Pimentel BA, Carvalho ACP de LF de. A meta-learning approach for recommending the number of clusters for clustering algorithms [Internet]. Knowledge-Based Systems. 2020 ; 195 1-14.[citado 2026 jan. 24 ] Available from: https://doi.org/10.1016/j.knosys.2020.105682Vancouver
Pimentel BA, Carvalho ACP de LF de. A meta-learning approach for recommending the number of clusters for clustering algorithms [Internet]. Knowledge-Based Systems. 2020 ; 195 1-14.[citado 2026 jan. 24 ] Available from: https://doi.org/10.1016/j.knosys.2020.105682
