# demglm2

## Purpose

Demonstrate simple classification using a generalized linear model.

## Synopsis

    demglm1

## Description

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

## See Also

`demglm1`, `glm`, `glmtrain`

Pages: Index

Copyright (c) Ian T Nabney (1996-9)