R/package.R

#' Landmark Multi-Dimensional Scalng
#'
#' A fast dimensionality reduction method scaleable to large numbers of samples.
#' Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS´,
#' but rather than calculating a complete distance matrix between all pairs of samples,
#' only the distances between a set of landmarks and the samples are calculated.
#'
#' @importFrom assertthat assert_that
#' @importFrom dynutils calculate_distance is_sparse
#'
#' @docType package
#' @name lmds
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lmds documentation built on Sept. 27, 2019, 5:03 p.m.