IclFit-class: Abstract class to represent a clustering result

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

Abstract class to represent a clustering result

Description

An S4 abstract class to represent an icl fit of a clustering model.

Slots

K

a numeric vector of length 1 which correspond to the number of clusters

icl

a numeric vector of length 1 which store the the icl value

cl

a numeric vector of length N which store the clusters labels

obs_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 constraints

train_hist

a data.frame to store training history (format depends on the used algorithm used).

name

generative model name

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