DcLbmFit-class: Degree corrected Latent Block Model fit results class

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

Degree corrected Latent 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 DcLbm-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)

See Also

coef,DcLbmFit-method

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