# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
#' Compute Euclidean distance matrix by rows
#'
#' Used in consmx function
#'
#' @param x A numeric matrix.
ED1 <- function(x) {
.Call('_sc3min_ED1', PACKAGE = 'sc3min', x)
}
#' Compute Euclidean distance matrix by columns
#'
#' Used in sc3-funcs.R distance matrix calculation
#' and within the consensus clustering.
#'
#' @param x A numeric matrix.
ED2 <- function(x) {
.Call('_sc3min_ED2', PACKAGE = 'sc3min', x)
}
#' Co-association matrix computation
#'
#' Computes co-association matrix given cluster labels
#'res /= dat.n_cols;
#'
#' @param dat a matrix containing clustering solutions in columns
consmx <- function(dat) {
.Call('_sc3min_consmx', PACKAGE = 'sc3min', dat)
}
#' Consensus matrix computation
#'
#' Computes consensus matrix given a co-association matrix
#'
#' @param matrix a matrix containing co-association matrix
#' @param k number of clusters
consensus <- function(matrix, k) {
.Call('_sc3min_consensus', PACKAGE = 'sc3min', matrix, k)
}
#' Graph Laplacian calculation
#'
#' Calculate graph Laplacian of a symmetrix matrix
#'
#' @param A symmetric matrix
#' @export
norm_laplacian <- function(A) {
.Call('_sc3min_norm_laplacian', PACKAGE = 'sc3min', A)
}
#' Matrix left-multiplied by its transpose
#'
#' Given matrix A, the procedure returns A'A.
#'
#' @param x Numeric matrix.
tmult <- function(x) {
.Call('_sc3min_tmult', PACKAGE = 'sc3min', x)
}
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