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.
call
A call
object specifying the call
method
The method used in the call
clustering
The final partition found by the algorithm
controls
An 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'.
K
An integer specifying the number of topics.
Q
An integer specifying he number of clusters.
N
An integer specifying the number of observations.
V
An integer specifying the number of variables.
beta
The (KxV) topic matrix.
gamma
A (QxK) matrix containing the variational paramaters of the variational distribution of each $\theta_q$ in its rows.
lda_algo
An 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.epochs
The maximum number of pass through the whole dataset in the algorithm.
logLikelihoods
A numeric vector containing the evolution of the
variational bound every keep
iteration.
keep
An integer specifying the . Mostly useful for the plot function.
n_epochs
The number of pass through the datasets before convergence. see details
llhood
The final value of the variational lower bound.
Yinit
The value of the initial partition.
icl
The Integrated Classification Likelihood value.
Object of class "mmpcaClust
" are returned by
mmpca_clust
()
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