MembProbFn2 {vabayelMix} | R Documentation |
Internal function for: Variational Bayesian Gaussian Mixture Model
Description
Computes cluster membership probabilities of of samples.
Usage
MembProbFn2(data, NewVals, Nsamples)
Arguments
data |
The data matrix |
NewVals |
Estimated parameter values |
Nsamples |
Number of samples |
Value
A list with the following components:
wcl |
Integer vector of length Nsamples specifying cluster
membership of sample using maximum probabilty criterion |
probs |
Matrix of dimension Ncat x Nsamples giving cluster
membership probabilities of samples. |
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]