Description Usage Arguments Value Author(s) References See Also Examples
get posterior responsibilities of elements in a data set, according to a posterior MPPCA distribution.
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data |
matrix of row-elements. |
model |
posterior MPPCA. |
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)
Pierrick Bruneau
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.
mppca
1 |
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