# demglm1

## 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 two Gaussian clusters, and a generalized linear model with logistic output is trained using iterative reweighted least squares. A plot of the data together with the 0.1, 0.5 and 0.9 contour lines of the conditional probability is generated.

## See Also

`demglm2`, `glm`, `glmtrain`

Pages: Index

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