linkage.hpp

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// toolboxes/stats/include/nk/stats/cluster/linkage.hpp
//
// Agglomerative hierarchical clustering — linkage tree + flat-cluster
// extraction. Function-form API only.
 
#pragma once
 
#include <memory_resource>
#include <nk/value/value.hpp>
 
#include <string>
#include <tuple>
 
namespace nk::stats {

 

Value linkage(const Value &Y, const std::string &method,
              std::pmr::memory_resource *mr = nullptr);

Value linkage(const Value &Y, const std::string &method,
              const std::string &metric, double p,
              std::pmr::memory_resource *mr = nullptr);

Value cluster_from_linkage(const Value &Z, int maxclust, double cutoff,
                           const std::string &criterion,
                           std::pmr::memory_resource *mr = nullptr);

Value cluster_from_linkage(const Value &Z, int maxclust, double cutoff,
                           const std::string &criterion, int depth,
                           std::pmr::memory_resource *mr = nullptr);

Value clusterdata(const Value &X, int maxclust, double cutoff,
                  const std::string &linkage_method,
                  const std::string &criterion,
                  std::pmr::memory_resource *mr = nullptr);

Value 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);

Value 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);

Value cophenet(const Value &Z, const Value &Y,
               std::pmr::memory_resource *mr = nullptr);

Value inconsistent(const Value &Z, int depth,
                   std::pmr::memory_resource *mr = nullptr);
 

} // namespace nk::stats