Extending k-means-based algorithms for evolving data streams with variable number of clusters (2011)
Source: Proceedings. Conference titles: International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul. Extending k-means-based algorithms for evolving data streams with variable number of clusters. 2011, Anais.. Los Alamitos: IEEE Computer Society, 2011. Disponível em: https://doi.org/10.1109/ICMLA.2011.67. Acesso em: 06 nov. 2025.APA
Silva, J. de A., & Hruschka, E. R. (2011). Extending k-means-based algorithms for evolving data streams with variable number of clusters. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ICMLA.2011.67NLM
Silva J de A, Hruschka ER. Extending k-means-based algorithms for evolving data streams with variable number of clusters [Internet]. Proceedings. 2011 ;[citado 2025 nov. 06 ] Available from: https://doi.org/10.1109/ICMLA.2011.67Vancouver
Silva J de A, Hruschka ER. Extending k-means-based algorithms for evolving data streams with variable number of clusters [Internet]. Proceedings. 2011 ;[citado 2025 nov. 06 ] Available from: https://doi.org/10.1109/ICMLA.2011.67
