ClusterStrategy-class: Constructor of ['ClusterStrategy'] class

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

Description

This class encapsulate the parameters of the clustering estimation strategies.

Details

@slot nbTry Integer defining the number of tries. Default value: 1. @slot nbShortRun Integer defining the number of short run. Recall that the strategy launch an initialization before each short run. Default value is 5. @slot initMethod A [ClusterInit] object defining the way to initialize the estimation method. Default value is [ClusterInit]. @slot shortAlgo A [ClusterAlgo] object defining the algorithm to use during the short runs of the estimation method. Default value is clusterAlgo("EM",100,1e-04). @slot longAlgo A [ClusterAlgo] object defining the algorithm to use during the long run of the estimation method. Default value is clusterAlgo("EM",1000,1e-07).

Author(s)

Serge Iovleff

Examples

  new("ClusterStrategy")
  shortAlgo=clusterAlgo("SEM",1000)
  longAlgo =clusterAlgo("SemiSEM",200,1e-07)
  new("ClusterStrategy", shortAlgo=shortAlgo, longAlgo=longAlgo)
  getSlots("ClusterStrategy")

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