Description Details Slots Objects from the class
An S4 class representing a fitted mmpca model.
The BB-CVEM method is the branch & bound greedy procedure proposed in
the original paper of Jouvin et. al. https://arxiv.org/abs/1909.00721. The number of epochs in the n_epochs slot
is actually the true number of pass minus 1 (unless max.epochs was
reached). Indeed, the last pass before convergence does not change either
the bound or the clustering, hence it is removed of the counter.
callA call object specifying the call
methodThe method used in the call
clusteringThe final partition found by the algorithm
controlsAn object of class mmpcaClustcontrol
containing the controls used in the VEM algorithm on the aggregated DTM
during the loop. The slots controls@control_lda_init where only use
when init.beta == 'lda'.
KAn integer specifying the number of topics.
QAn integer specifying he number of clusters.
NAn integer specifying the number of observations.
VAn integer specifying the number of variables.
betaThe (KxV) topic matrix.
gammaA (QxK) matrix containing the variational paramaters of the variational distribution of each $\theta_q$ in its rows.
lda_algoAn object of class "LDA" (cf.
TopicModel) containing the results of the
LDA() function applied to the aggregated DTM,
with control controls@control_lda_loop
max.epochsThe maximum number of pass through the whole dataset in the algorithm.
logLikelihoodsA numeric vector containing the evolution of the
variational bound every keep iteration.
keepAn integer specifying the . Mostly useful for the plot function.
n_epochsThe number of pass through the datasets before convergence. see details
llhoodThe final value of the variational lower bound.
YinitThe value of the initial partition.
iclThe Integrated Classification Likelihood value.
Object of class "mmpcaClust" are returned by
mmpca_clust()
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