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A library for working with phylogenetic and population genetic data.
v0.32.0 |
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A library for working with phylogenetic and population genetic data.
v0.32.0 |
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This is the complete list of members for EuclideanKmeans, including all inherited members.
| assign_to_centroids(std::vector< std::vector< double > > const &data, std::vector< std::vector< double > > const ¢roids, std::vector< size_t > &assignments) | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| assignments() const | Kmeans< std::vector< double > > | inline |
| assignments(std::vector< size_t > const &value) | Kmeans< std::vector< double > > | inline |
| centroids() const | Kmeans< std::vector< double > > | inline |
| centroids(std::vector< std::vector< double > > const &value) | Kmeans< std::vector< double > > | inline |
| clear() | Kmeans< std::vector< double > > | inline |
| cluster_info(std::vector< std::vector< double > > const &data) const | Kmeans< std::vector< double > > | inline |
| cluster_info(std::vector< std::vector< double > > const &data, std::vector< size_t > const &assignments, std::vector< std::vector< double > > const ¢roids) const | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| cluster_sizes() const | Kmeans< std::vector< double > > | inline |
| EuclideanKmeans(size_t dimensions) | EuclideanKmeans | |
| EuclideanKmeans(EuclideanKmeans const &)=default | EuclideanKmeans | |
| EuclideanKmeans(EuclideanKmeans &&)=default | EuclideanKmeans | |
| find_nearest_cluster(std::vector< std::vector< double > > const ¢roids, std::vector< double > const &datum) const | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| initialization_strategy() const | Kmeans< std::vector< double > > | inline |
| initialization_strategy(KmeansInitializationStrategy value) | Kmeans< std::vector< double > > | inline |
| initialize(std::vector< std::vector< double > > const &data, size_t const k) | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| Kmeans()=default | Kmeans< std::vector< double > > | |
| Kmeans(Kmeans const &)=default | Kmeans< std::vector< double > > | |
| Kmeans(Kmeans &&)=default | Kmeans< std::vector< double > > | |
| lloyd_step(std::vector< std::vector< double > > const &data, std::vector< size_t > &assignments, std::vector< std::vector< double > > ¢roids) | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| max_iterations() const | Kmeans< std::vector< double > > | inline |
| max_iterations(size_t value) | Kmeans< std::vector< double > > | inline |
| operator=(EuclideanKmeans const &)=default | EuclideanKmeans | |
| operator=(EuclideanKmeans &&)=default | EuclideanKmeans | |
| Kmeans< std::vector< double > >::operator=(Kmeans const &)=default | Kmeans< std::vector< double > > | |
| Kmeans< std::vector< double > >::operator=(Kmeans &&)=default | Kmeans< std::vector< double > > | |
| Point typedef | EuclideanKmeans | |
| post_loop_hook(std::vector< std::vector< double > > const &data, std::vector< size_t > &assignments, std::vector< std::vector< double > > ¢roids) | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| pre_loop_hook(std::vector< std::vector< double > > const &data, std::vector< size_t > &assignments, std::vector< std::vector< double > > ¢roids) | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| report_initialization | Kmeans< std::vector< double > > | |
| report_iteration | Kmeans< std::vector< double > > | |
| run(std::vector< std::vector< double > > const &data, size_t const k) | Kmeans< std::vector< double > > | inline |
| treat_empty_centroids(std::vector< std::vector< double > > const &data, std::vector< size_t > &assignments, std::vector< std::vector< double > > ¢roids, std::unordered_set< size_t > const &empty_centroids) | Kmeans< std::vector< double > > | inlineprotectedvirtual |
| value_type typedef | Kmeans< std::vector< double > > | |
| ~EuclideanKmeans() override=default | EuclideanKmeans | virtual |
| ~Kmeans()=default | Kmeans< std::vector< double > > | virtual |
1.8.17