wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual demglm2 wolffd@0: wolffd@0: wolffd@0: wolffd@0:

demglm2 wolffd@0:

wolffd@0:

wolffd@0: Purpose wolffd@0:

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

wolffd@0: Synopsis wolffd@0:

wolffd@0: 
wolffd@0: demglm1
wolffd@0: wolffd@0: wolffd@0:

wolffd@0: Description wolffd@0:

wolffd@0: wolffd@0: The problem consists of a two dimensional input wolffd@0: matrix data and a vector of classifications t. The data is wolffd@0: generated from three Gaussian clusters, and a generalized linear model wolffd@0: with softmax output is trained using iterative reweighted least squares. wolffd@0: A plot of the data together with regions shaded by the classification wolffd@0: given by the network is generated. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: demglm1, glm, glmtrain
wolffd@0: Pages: wolffd@0: Index wolffd@0:
wolffd@0:

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