Degree corrected stochastic block model for bipartite graph fit results class

Source: R/coclust_dcsbm.R

An S4 class to represent a fit of a degree corrected stochastic block model for co_clustering, extend icl_fit-class.

Slots

model

a co_dcsbm-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

Krow

number of extracted row clusters

Kcol

number of extracted column clusters

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

  • din: numeric vector of size K which store the sums of in-degrees for each clusters

  • dout: numeric vector of size K which store the sums of out-degrees for each clusters

  • x_counts: matrix of size K*K with the number of links between each pair of clusters

  • co_x_counts: matrix of size Krow*Kcol with the number of links between each pair of row and column cluster

clrow

a numeric vector with row cluster indexes

clcol

a numeric vector with column cluster indexes

Nrow

number of rows

Ncol

number of columns

move_mat

binary matrix which store move constraints

train_hist

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