Abstract class to represent a clustering result
An S4 abstract class to represent an icl fit of a clustering model. class
K
: a numeric vector of length 1 which correspond to the number of clustersicl
: a numeric vector of length 1 which store the the icl valuecl
: a numeric vector of length N which store the clusters labelsobs_stats
: a list to store the observed statistics of the model needed to compute ICL.obs_stats_cst
: a list to store the observed statistics of the model that do not depend on the clustering.move_mat
: binary matrix which store move constraintstrain_hist
: a data.frame to store training history (format depends on the used algorithm used).name
: generative model nameUseful links