Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual demglm2 Daniel@0: Daniel@0: Daniel@0: Daniel@0:

demglm2 Daniel@0:

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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
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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 three Gaussian clusters, and a generalized linear model Daniel@0: with softmax output is trained using iterative reweighted least squares. Daniel@0: A plot of the data together with regions shaded by the classification Daniel@0: given by the network is generated. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: demglm1, glm, glmtrain
Daniel@0: Pages: Daniel@0: Index Daniel@0:
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Copyright (c) Ian T Nabney (1996-9) Daniel@0: Daniel@0: Daniel@0: Daniel@0: