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
1D.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).
2J. W. Miskin : Ensemble Learning for Independent Component Analysis,
PhD thesis University of Cambridge December 2000.
3A. 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]