Nothing
# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
rank_c <- function(x) {
.Call(`_partition_rank_c`, x)
}
apply_rank <- function(x) {
.Call(`_partition_apply_rank`, x)
}
corr_c_mat <- function(x) {
.Call(`_partition_corr_c_mat`, x)
}
corr_c_2mat <- function(x, y) {
.Call(`_partition_corr_c_2mat`, x, y)
}
corr_c_2vec <- function(x, y) {
.Call(`_partition_corr_c_2vec`, x, y)
}
icc_c <- function(x) {
.Call(`_partition_icc_c`, x)
}
scale_rowmeans <- function(x) {
.Call(`_partition_scale_rowmeans`, x)
}
subset_matrix <- function(x, i, m) {
.Call(`_partition_subset_matrix`, x, i, m)
}
min_icc_c <- function(columns, x, k, threshold) {
.Call(`_partition_min_icc_c`, columns, x, k, threshold)
}
kmeans_c <- function(x, k, n_iter = 10L, verbose = FALSE, seed = 1L) {
.Call(`_partition_kmeans_c`, x, k, n_iter, verbose, seed)
}
assign_cluster <- function(x, init_centroids) {
.Call(`_partition_assign_cluster`, x, init_centroids)
}
kmean_assignment <- function(x, k, n_iter = 10L, verbose = FALSE, seed = 1L) {
.Call(`_partition_kmean_assignment`, x, k, n_iter, verbose, seed)
}
minR2_c <- function(x) {
.Call(`_partition_minR2_c`, x)
}
pca_c <- function(x) {
.Call(`_partition_pca_c`, x)
}
reduce_partition_c <- function(x, df, assign_partition, partitioner, threshold, tolerance, var_prefix, niter) {
.Call(`_partition_reduce_partition_c`, x, df, assign_partition, partitioner, threshold, tolerance, var_prefix, niter)
}
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