get posterior responsibilities of elements in a data set, according to a posterior MPPCA distribution.
Usage
getResp(data, model)
Arguments
data
matrix of row-elements.
model
posterior MPPCA.
Value
nxk matrix (with n the number of row-elements, and k the number of components in the MPPCA) of membership probabilities. (i.e. Z in references)
References
Bruneau, P., Gelgon, M. and Picarougne, F. (2010) _Aggregation of probabilistic PCA mixtures with
a variational-Bayes technique over parameters_, ICPR'10. Bruneau, P., Gelgon, M. and Picarougne, F. (2011) _Component-level aggregation of probabilistic PCA mixtures using variational-Bayes_, Tech Report, http://hal.archives-ouvertes.fr/docs/00/56/72/99/PDF/techrep.pdf.