Diagonal Gaussian mixture model fit results class

Source: R/model_diaggmm.R

An S4 class to represent a fit of a multivariate diagonal Gaussian mixture model, extend IclFit-class.

Slots

model

a DiagGmm-class object to store the model fitted

name

generative model name

icl

icl value of the fitted model

K

number of extracted clusters over row and columns

cl

a numeric vector with row and columns cluster indexes

obs_stats

a list with the following elements:

  • counts: numeric vector of size K with number of elements in each clusters

  • regs: list of size $K$ with statistics for each clusters

move_mat

binary matrix which store move constraints

train_hist

data.frame with training history information (details depends on the training procedure)