DcSbmFit-class: Degree Corrected Stochastic Block Model fit results class

In greed: Clustering and Model Selection with the Integrated Classification Likelihood

Degree Corrected Stochastic Block Model fit results class

Description

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

Slots

model

a 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

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

obs_stats_cst

a list with the following elements:

• din_node: node in-degree, a vector of size N

• dout_node: node in-degree vector of size N

move_mat

binary matrix which store move constraints

train_hist

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

See Also

coef,DcSbmFit-method

greed documentation built on Oct. 4, 2022, 1:06 a.m.