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
is actually the true number of pass minus 1 (unless
reached). Indeed, the last pass before convergence does not change either
the bound or the
clustering, hence it is removed of the counter.
call object specifying the call
The method used in the call
The final partition found by the algorithm
An object of class
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'.
An integer specifying the number of topics.
An integer specifying he number of clusters.
An integer specifying the number of observations.
An integer specifying the number of variables.
The (KxV) topic matrix.
A (QxK) matrix containing the variational paramaters of the variational distribution of each $\theta_q$ in its rows.
An object of class "
TopicModel) containing the results of the
LDA() function applied to the aggregated DTM,
The maximum number of pass through the whole dataset in the algorithm.
A numeric vector containing the evolution of the
variational bound every
An integer specifying the . Mostly useful for the plot function.
The number of pass through the datasets before convergence. see details
The final value of the variational lower bound.
The value of the initial partition.
The Integrated Classification Likelihood value.
Object of class "
mmpcaClust" are returned by
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