On the comparisson of relative clustering validity criteria (2009)
- Authors:
- USP affiliated authors: HRUSCHKA, EDUARDO RAUL - ICMC ; CAMPELLO, RICARDO JOSÉ GABRIELLI BARRETO - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: SIAM
- Publisher place: Philadelphia
- Date published: 2009
- Source:
- Título: Proceedings
- Conference titles: SIAM International Conference on Data Mining
-
ABNT
VENDRAMIN, Lucas e CAMPELLO, Ricardo José Gabrielli Barreto e HRUSCHKA, Eduardo Raul. On the comparisson of relative clustering validity criteria. 2009, Anais.. Philadelphia: SIAM, 2009. Disponível em: http://www.siam.org/proceedings/datamining/2009/dm09_067_vendraminl.pdf. Acesso em: 10 nov. 2024. -
APA
Vendramin, L., Campello, R. J. G. B., & Hruschka, E. R. (2009). On the comparisson of relative clustering validity criteria. In Proceedings. Philadelphia: SIAM. Recuperado de http://www.siam.org/proceedings/datamining/2009/dm09_067_vendraminl.pdf -
NLM
Vendramin L, Campello RJGB, Hruschka ER. On the comparisson of relative clustering validity criteria [Internet]. Proceedings. 2009 ;[citado 2024 nov. 10 ] Available from: http://www.siam.org/proceedings/datamining/2009/dm09_067_vendraminl.pdf -
Vancouver
Vendramin L, Campello RJGB, Hruschka ER. On the comparisson of relative clustering validity criteria [Internet]. Proceedings. 2009 ;[citado 2024 nov. 10 ] Available from: http://www.siam.org/proceedings/datamining/2009/dm09_067_vendraminl.pdf - On the efficiency of evolutionary fuzzy clustering
- Relative clustering validity criteria: a comparative overview
- A robust methodology for comparing performances of clustering validity criteria
- A fuzzy variant of an evolutionary algorithm for clustering
- Fuzzy clustering-based filter
- Collaborative fuzzy clustering algorithms: some refinements and design guidelines
- On comparing two sequences of numbers and its applications to clustering analysis
- A comparative study on the use of correlation coefficients for redundant feature elimination
- Distributed Fuzzy clustering with automatic detection of the number of clusters
- Evolutionary fuzzy clustering: an overview and efficiency issues
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
