Cargando…
Tabla de Contenidos:
  • Pattern recognition : feature space construction
  • Pattern recognition : classifiers
  • Classification with rejection problem formulation and an overview
  • Evaluating pattern recognition problem
  • Recognition with rejection : empirical analysis
  • Concepts and notions of information granules
  • Information granules : fundamental constructs
  • Clustering
  • Quality of data : imputation and data balancing.