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

LearnAlgoR Documentation

[LearnAlgo] class for Cluster algorithms.

Description

This class encapsulates the parameters of clustering estimation algorithms methods.

Slots

algo

A character string with the algorithm. Possible values: "Simul", "Impute. Default value: "Simul".

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 "Simul". Default value: 1e-07.

Examples

getSlots("LearnAlgo")
new("LearnAlgo")
new("LearnAlgo", algo="Impute", nbIteration=100)


MixAll documentation built on June 22, 2024, 6:56 p.m.