UpdateCatw {vabayelMix}R Documentation

Internal function for: Variational Bayesian Gaussian Mixture Model

Description

Updates categorical weights

Usage

UpdateCatw(Ncat, data, m, am, aiv, biv, api)

Arguments

m,am,aiv,biv,api Posterior parameters.

Value

A list with the following components:

cwm Categorical weight matrix. See References
scw Derive from above. See References.

Author(s)

Andrew Teschendorffaet21@hutchison-mrc.cam.ac.uk

References

1
D.J.MacKay: Developments in probabilistic modelling with neural networks-ensemble learning. In Neural Networks: Artificial Intelligence and Industrial Applications. Proceedings of the 3rd Annual Symposium on Neural Networksm Nijmengen, Netherlands, Berlin Springer, 191-198 (1995).
2
J. W. Miskin : Ensemble Learning for Independent Component Analysis, PhD thesis University of Cambridge December 2000.
3
A. E. Teschendorff,...et al.: A variational bayesian mixture modelling framework for cluster analysis of gene expression data. Submitted to Bioinformatics.


[Package vabayelMix version 0.3 Index]