R/RcppExports.R

In InfOmics/ISDBSCAN-R: Clustering Large Single-Cell Datasets

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

#'
#' cIsdbscan
#'
#' cIsdbscan for both matrix and HDF5Matrix
#'
#'@param data numeric matrix or integer matrix or HDF5Matrix
#'@param k the number of clusters
#'@param batch_size the size of the mini batches
#'@return a list with the following attributes: centroids, WCSS_per_cluster, best_initialization, iters_per_initialization
#'@details
#'This function performs k-means clustering using mini batches.
#'
#'\strong{kmeans++}: kmeans++ initialization. Reference : http://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf AND http://stackoverflow.com/questions/5466323/how-exactly-does-k-means-work
#'
#'\strong{random}: random selection of data rows as initial centroids
#'
#'@references
#'https://github.com/mlampros/ClusterR
#'
#' @export
cIsdbscan <- function(data, k, batch_size, stratif) {
    .Call(`_ISDBSCAN_cIsdbscan`, data, k, batch_size, stratif)
}