initfastnmf.intern: initialize fastnmf

In clusterMI: Cluster Analysis with Missing Values by Multiple Imputation

initialize fastnmf

Description

initialize fastnmf

Usage

initfastnmf.intern(
  method,
  Mtilde,
  listpart = NULL,
  nb.clust = NULL,
  parameter.kmeans = list(nstart = 100, iter.max = 50, algorithm = c("Hartigan-Wong",
    "Lloyd", "Forgy", "MacQueen"), trace = FALSE),
  parameter.minibatchkmeans = list(batch_size = 10, num_init = 1, max_iters = 50,
    init_fraction = 1, initializer = "kmeans++", early_stop_iter = 10, verbose = FALSE,
    CENTROIDS = NULL, tol = 1e-04, tol_optimal_init = 0.3, seed = 1)
)

Arguments

method	a vector giving initialisation methods among "BOK", "kmeans", "minibatchkmeans" "sample"
Mtilde	a fuzzy connectivity matrix
listpart	a list of partitions (required for kmeans and minibatchkmeans method)
parameter.kmeans	list of arguments for kmeans function
parameter.minibatchkmeans	list of arguments for MiniBatchKmeans function

clusterMI documentation built on April 4, 2025, 12:55 a.m.