RT Generic
T1 Dimension reduction transformations in discriminant analysis
A1 Velilla Cerdan, Santiago
A1 Hernández, Adolfo
AB Dimension reduction transformations in discriminant analysis are introduced. Their properties, as well as sufficient conditions for their characterization, are studied. Special attention is given to the continuous case, of particular importance in applications. An effective data based dimension reduction algorithm is proposed and its behavior illustrated in a classification problem where the class conditional probability distributions are multivariate normal with different covariance matrices
YR 2001
FD 2001-11
LK https://hdl.handle.net/10016/176
UL https://hdl.handle.net/10016/176
LA eng
LA eng
DS e-Archivo
RD 24 may. 2024