ClusterAlgo] class.
Used internally in the `MixAll' package.Initialization method of the [ClusterInit] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterStrategy] class.
Used internally in the 'MixAll' package.
Initialization method of the [IClusterModel] class.
Used internally in the 'MixAll' package.
Initialization method of the [IClusterComponent] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterCategoricalComponent] class.
Used internally in the `MixAll' package.
Initialization method of the [ClusterCategorical] class.
Used internally in the `MixAll' package.
Initialization method of the [ClusterDiagGaussianComponent] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterDiagGaussian] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterGammaComponent] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterGamma] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterKernelComponent] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterKernel] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterMixedData] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterPoissonComponent] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterPoisson] class.
Used internally in the 'MixAll' package.
Initialization method of the [LearnAlgo] class.
Used internally in the `MixAll' package.
"initialize"(.Object, algo, nbIteration, epsilon)
"initialize"(.Object, method = "class", nbInit = 5, algo = clusterAlgo("EM", 20, 0))
"initialize"(.Object, nbTry, nbShortRun, initMethod, shortAlgo, longAlgo)
"initialize"(.Object, nbSample, nbCluster)
"initialize"(.Object, data, modelName)
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "categorical_pk_pjk")
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "categorical_pk_pjk")
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "gaussian_pk_sjk")
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "gaussian_pk_sjk")
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "gamma_pk_ajk_bjk")
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "gamma_pk_ajk_bjk")
"initialize"(.Object, rawData, dim = 10, nbCluster = 2, modelName = "kernelGaussian_pk_sk")
"initialize"(.Object, data, dim = 10, kernelName = "gaussian", kernelParameters = NULL, nbCluster = 2, modelName = "kernelGaussian_pk_sk")
"initialize"(.Object, ldata = list(), nbCluster = 2)
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "poisson_pk_ljk")
"initialize"(.Object, data = matrix(nrow = 0, ncol = 0), nbCluster = 2, modelName = "poisson_pk_ljk")
"initialize"(.Object, algo, nbIteration, epsilon)