#include <memory_resource>
#include <nk/value/value.hpp>
#include <string>
#include <tuple>

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Functions
Value	nk::stats::linkage (const Value &Y, const std::string &method, std::pmr::memory_resource *mr=nullptr)
	Agglomerative hierarchical clustering tree (Z = linkage(Y, method)).
Value	nk::stats::linkage (const Value &Y, const std::string &method, const std::string &metric, double p, std::pmr::memory_resource *mr=nullptr)
	4-arg overload: when Y is a raw N×D data matrix, computes pdist(Y, metric, p) internally before linkage.
Value	nk::stats::cluster_from_linkage (const Value &Z, int maxclust, double cutoff, const std::string &criterion, std::pmr::memory_resource *mr=nullptr)
	Flatten a linkage tree into cluster labels (T = cluster(Z, opts)).
Value	nk::stats::cluster_from_linkage (const Value &Z, int maxclust, double cutoff, const std::string &criterion, int depth, std::pmr::memory_resource *mr=nullptr)
	5-arg overload of cluster_from_linkage with explicit inconsistency depth.
Value	nk::stats::clusterdata (const Value &X, int maxclust, double cutoff, const std::string &linkage_method, const std::string &criterion, std::pmr::memory_resource *mr=nullptr)
	Convenience: pdist + linkage + cluster in one call (clusterdata).
Value	nk::stats::clusterdata (const Value &X, int maxclust, double cutoff, const std::string &linkage_method, const std::string &criterion, int depth, std::pmr::memory_resource *mr=nullptr)
	6-arg clusterdata overload: explicit inconsistency depth.
Value	nk::stats::clusterdata (const Value &X, int maxclust, double cutoff, const std::string &linkage_method, const std::string &criterion, int depth, const std::string &distance_metric, double p, std::pmr::memory_resource *mr=nullptr)
	8-arg clusterdata overload: explicit depth + custom distance metric.
Value	nk::stats::cophenet (const Value &Z, const Value &Y, std::pmr::memory_resource *mr=nullptr)
	Cophenetic correlation (c = cophenet(Z, Y)).
Value	nk::stats::inconsistent (const Value &Z, int depth, std::pmr::memory_resource *mr=nullptr)
	Inconsistency coefficient table (R = inconsistent(Z, depth)).

Functions