ClusterAlgo
] class.
Used internally in the `rtkpp' package.Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
Initialization method of the [
] class.
Used internally in the `rtkpp' package.
## S3 method for class 'ClusterAlgo':
initialize(.Object, algo, nbIteration, epsilon)## S3 method for class 'ClusterCategoricalComponent':
initialize(.Object, data = matrix(nrow
= 0, ncol = 0), nbCluster = 2, modelName = "categorical_pk_pjk")
## S3 method for class 'ClusterCategorical':
initialize(.Object, data = matrix(nrow = 0,
ncol = 0), nbCluster = 2, modelName = "categorical_pk_pjk")
## S3 method for class 'ClusterDiagGaussianComponent':
initialize(.Object,
data = matrix(nrow = 0, ncol = 0), nbCluster = 2,
modelName = "gaussian_pk_sjk")
## S3 method for class 'ClusterDiagGaussian':
initialize(.Object, data = matrix(nrow = 0,
ncol = 0), nbCluster = 2, modelName = "gaussian_pk_sjk")
## S3 method for class 'ClusterGammaComponent':
initialize(.Object, data = matrix(nrow = 0,
ncol = 0), nbCluster = 2, modelName = "gamma_pk_ajk_bjk")
## S3 method for class 'ClusterGamma':
initialize(.Object, data = matrix(nrow = 0, ncol =
0), nbCluster = 2, modelName = "gamma_pk_ajk_bjk")
## S3 method for class 'ClusterHeterogeneous':
initialize(.Object, ldata = list(),
nbCluster = 2)
## S3 method for class 'ClusterInit':
initialize(.Object, method = "class", nbInit = 5,
algo = clusterAlgo("SEM", 20, 0))
## S3 method for class 'ClusterPoissonComponent':
initialize(.Object, data = matrix(nrow =
0, ncol = 0), nbCluster = 2, modelName = "poisson_pk_ljk")
## S3 method for class 'ClusterPoisson':
initialize(.Object, data = matrix(nrow = 0, ncol =
0), nbCluster = 2, modelName = "poisson_pk_ljk")
## S3 method for class 'ClusterStrategy':
initialize(.Object, nbTry, nbShortRun, initMethod,
shortAlgo, longAlgo)
## S3 method for class 'IClusterModelBase':
initialize(.Object, nbSample = 0,
nbCluster = 0)
## S3 method for class 'IClusterComponent':
initialize(.Object, data, modelName)