[LearnAlgo] class for Cluster algorithms.

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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

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

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