ClusterAlgo-class: ['ClusterAlgo'] class for Cluster algorithms.

In MixAll: Clustering and Classification using Model-Based Mixture Models

Description

This class encapsulates the parameters of clustering estimation algorithms methods.

Slots

algo

A character string with the algorithm. Possible values: "SEM", "CEM", "EM", "SemiSEM". Default value: "EM".

nbIteration

Integer defining the maximal number of iterations. Default value: 200.

epsilon

real defining the epsilon value for the algorithm. epsilon is note used if algo is "SEM" or "SemiSEM". Default value: 1e-07.

Examples

getSlots("ClusterAlgo")
new("ClusterAlgo")
new("ClusterAlgo", algo="SEM", nbIteration=1000)

MixAll documentation built on Sept. 7, 2019, 3 a.m.