initialize,ClusterAlgo-method | R Documentation |
Initialization method of the [ClusterAlgo
] class.
Used internally in the ‘MixAll’ package.
Initialization method of the [ClusterAlgoPredict
] 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 [IClusterComponent
] class.
Used internally in the 'MixAll' package.
Initialization method of the [IClusterModel
] 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 [ClusterMixedDataModel
] 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 [IClusterPredict
] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterPredict
] class.
Used internally in the 'MixAll' package.
Initialization method of the [ClusterPredictMixedData
] class.
Used internally in the 'MixAll' package.
Initialization method of the [LearnAlgo
] class.
Used internally in the ‘MixAll’ package.
Initialization method of the [KmmComponent
] class.
Used internally in the 'MixAll' package.
Initialization method of the [KmmModel
] class.
Used internally in the 'MixAll' package.
Initialization method of the [KmmMixedDataModel
] class.
Used internally in the 'MixAll' package.
## S4 method for signature 'ClusterAlgo'
initialize(.Object, algo, nbIteration, epsilon)
## S4 method for signature 'ClusterAlgoPredict'
initialize(.Object, algo, nbIterBurn, nbIterLong, epsilon)
## S4 method for signature 'ClusterInit'
initialize(
.Object,
method = "class",
nbInit = 5,
algo = clusterAlgo("EM", 20, 0)
)
## S4 method for signature 'ClusterStrategy'
initialize(.Object, nbTry, nbShortRun, initMethod, shortAlgo, longAlgo)
## S4 method for signature 'IClusterComponent'
initialize(.Object, data, modelName)
## S4 method for signature 'IClusterModel'
initialize(.Object, nbSample, nbCluster)
## S4 method for signature 'ClusterCategoricalComponent'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "categorical_pk_pjk"
)
## S4 method for signature 'ClusterCategorical'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "categorical_pk_pjk"
)
## S4 method for signature 'ClusterDiagGaussianComponent'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "gaussian_pk_sjk"
)
## S4 method for signature 'ClusterDiagGaussian'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "gaussian_pk_sjk"
)
## S4 method for signature 'ClusterGammaComponent'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "gamma_pk_ajk_bjk"
)
## S4 method for signature 'ClusterGamma'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "gamma_pk_ajk_bjk"
)
## S4 method for signature 'ClusterMixedDataModel'
initialize(.Object, lcomponent, nbCluster = 2)
## S4 method for signature 'ClusterPoissonComponent'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "poisson_pk_ljk"
)
## S4 method for signature 'ClusterPoisson'
initialize(
.Object,
data = matrix(nrow = 0, ncol = 0),
nbCluster = 2,
modelName = "poisson_pk_ljk"
)
## S4 method for signature 'IClusterPredict'
initialize(.Object, nbSample, model, algo)
## S4 method for signature 'ClusterPredict'
initialize(.Object, data, model, algo = clusterAlgoPredict())
## S4 method for signature 'ClusterPredictMixedData'
initialize(.Object, ldata, model, algo = clusterAlgoPredict())
## S4 method for signature 'LearnAlgo'
initialize(.Object, algo, nbIteration, epsilon)
## S4 method for signature 'KmmComponent'
initialize(
.Object,
data,
dim = 10,
nbCluster = 2,
modelName = "kmm_pk_s",
kernelName = "Gaussian",
kernelParameters = c(1),
kernelComputation = TRUE
)
## S4 method for signature 'KmmModel'
initialize(
.Object,
data,
nbCluster = 2,
modelName = "kmm_pk_s",
dim = 10,
kernelName = "Gaussian",
kernelParameters = c(1),
kernelComputation = TRUE
)
## S4 method for signature 'KmmMixedDataModel'
initialize(.Object, lcomponent, nbCluster = 2)
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