resultscat-class: resultscat output objects

In Clustericat: This package performs clustering for categorical dataset.

Description

This class contains the model and the parameters estimated by the clustercat algorithm for a fixed number of class.

sigma

This matrix indicates the block repartition of the variables. sigma(k,j)=b if the variable j is affected to the block b for the component k.

bic

Value of the BIC criterion.

likelihood

Value of the log-likelihood.

nbcluster

Number of cluster.

probapost

This matrix indicates probabilities for each individuals to be arisen from each class.

partition

Partition estimated using the MAP.

parameters

A parameterscat object containing the estimated parameters.

Examples

  getSlots("resultscat")

Clustericat documentation built on May 2, 2019, 5:45 p.m.