# R/RcppExports.R In hilbertSimilarity: Hilbert Similarity Index for High Dimensional Data

#### Documented in hilbertMapping

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

#' @useDynLib hilbertSimilarity
#' @importFrom Rcpp sourceCpp
#'
#' @name hilbertMapping
#' @title Map High Dimensional Coordinates to Hilbert Index and back
#'
#' @description
#' \code{hilbertMapping} will compute the \href{https://en.wikipedia.org/wiki/Hilbert_curve}{Hilbert index} for each
#' row of a matrix of integer coordinates corresponding to sub-cubes in a high dimensional space.
#'
#' @param x a matrix of a matrix of integer coordinates (see \code{\link{do.hilbert}})
#' @param bits the hilbert order, \emph{i.e.} the number of cuts in each dimension
#' @return a vector of hilbert index, one for each line in \code{x}
#'
#' @details
#' Functions: TransposetoAxes AxestoTranspose
#' Purpose: Transform in-place between Hilbert transpose and geometrical axes
#' Example: b=5 bits for each of n=3 coordinates.
#' 15-bit Hilbert integer = A B C D E F G H I J K L M N O is stored
#' as its Transpose
#' X[0] = A D G J M X[2]|
#' X[1] = B E H K N <-------> | /X[1]
#' X[2] = C F I L O axes |/
#' high low 0------ X[0]
#' Axes are stored conventionally as b-bit integers.
#' Author: John Skilling 20 Apr 2001 to 11 Oct 2003
#'
#' The source code includes the correction suggested in the following
#' \href{https://stackoverflow.com/a/10384110}{StackOverflow discussion}.
#'
#' @author Marilisa Neri
#' @author Yann Abraham
#' @author John Skilling
#'
NULL

hilbertMapping <- function(x, bits) {
.Call('_hilbertSimilarity_hilbertMapping', PACKAGE = 'hilbertSimilarity', x, bits)
}


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hilbertSimilarity documentation built on Nov. 12, 2019, 1:06 a.m.