coRanking: Co-Ranking Matrix

#' Methods for the co-ranking matrix
#'
#' coRanking provides methods for the calculation of the co-ranking
#' matrix and derived measures to assess the quality of a
#' dimensionality reduction
#'
#' This package provides functions for calculating the co-ranking
#' matrix, plotitng functions and some derived measures for quality
#' assessment of dimensionality reductions.
#'
#' Funding provided by the Department for Biogeochemical Integration,
#' Empirical Inference of the Earth System Group, at the Max Plack
#' Institute for Biogeochemistry, Jena.
#'
#' @references
#' Chen, L., Buja, A., 2006. Local Multidimensional Scaling for Nonlinear
#'   Dimension Reduction, Graph Layout and Proximity Analysis.
#'
#' Lee, J.A., Lee, J.A., Verleysen, M., 2009. Quality assessment of
#'     dimensionality reduction: Rank-based criteria. Neurocomputing 72.
#'
#' Lueks, W., Mokbel, B., Biehl, M., & Hammer, B. (2011). How to
#'   Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix.
#'   ArXiv:1110.3917 [Cs]. http://arxiv.org/abs/1110.3917
#'
#' Lee, J. A., Peluffo-Ordóñez, D. H., & Verleysen, M., 2015. Multi-scale
#'   similarities in stochastic neighbour embedding: Reducing dimensionality
#'   while preserving both local and global structure. Neurocomputing, 169,
#'   246–261. https://doi.org/10.1016/j.neucom.2014.12.095
#'
#' @docType package
"_PACKAGE"