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

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]