Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual demglm1 Daniel@0: Daniel@0: Daniel@0: Daniel@0:

demglm1 Daniel@0:

Daniel@0:

Daniel@0: Purpose Daniel@0:

Daniel@0: Demonstrate simple classification using a generalized linear model. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

Daniel@0: 
Daniel@0: demglm1
Daniel@0: Daniel@0: Daniel@0:

Daniel@0: Description Daniel@0:

Daniel@0: Daniel@0: The problem consists of a two dimensional input Daniel@0: matrix data and a vector of classifications t. The data is Daniel@0: generated from two Gaussian clusters, and a generalized linear model Daniel@0: with logistic output is trained using iterative reweighted least squares. Daniel@0: A plot of the data together with the 0.1, 0.5 and 0.9 contour lines Daniel@0: of the conditional probability is generated. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: demglm2, glm, glmtrain
Daniel@0: Pages: Daniel@0: Index Daniel@0:
Daniel@0:

Copyright (c) Ian T Nabney (1996-9) Daniel@0: Daniel@0: Daniel@0: Daniel@0: