Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Classification and clustering study in incomplete data domain

Autor
Rodas, J.; Gramajo, F.
Tipus d'activitat
Document cientificotècnic
Data
2001-03
Codi
LSI-01-11-R
Repositori
http://hdl.handle.net/2117/99077 Obrir en finestra nova
Resum
This report focuses on classification and clustering methods applied to a synthetic dataset, where we gradually increase the missing data and tested---algorithms and tools (C4.5, Roc, AutoClass, Kmeans and K2) for classification and clustering--- independently within each increment. We report preliminary results that suggest that the methods for classification and clustering based on Bayesian or probabilistic structures work well in incomplete data domains and we can intuitively say that it is ...
Citació
Rodas, J., Gramajo, F. "Classification and clustering study in incomplete data domain". 2001.
Paraules clau
Classification and clustering study, Incomplete data domain

Participants

  • Rodas Osollo, Jorge Enrique  (autor)
  • Gramajo Lopez, Freiry Javier  (autor)

Arxius