Include dependency graph for include/mrpt/math/kmeans.h:
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Namespaces | |
| mrpt | |
| This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries. | |
| mrpt::math | |
| This base provides a set of functions for maths stuff. | |
| mrpt::math::detail | |
Functions | |
| template<typename SCALAR > | |
| double | mrpt::math::detail::internal_kmeans (const bool use_kmeansplusplus_method, const size_t nPoints, const size_t k, const size_t dims, const SCALAR *points, const size_t attempts, SCALAR *out_center, int *out_assignments) |
| template<class LIST_OF_VECTORS1 , class LIST_OF_VECTORS2 > | |
| double | mrpt::math::detail::stub_kmeans (const bool use_kmeansplusplus_method, const size_t k, const LIST_OF_VECTORS1 &points, std::vector< int > &assignments, LIST_OF_VECTORS2 *out_centers, const size_t attempts) |
k-means algorithms | |
| template<class LIST_OF_VECTORS1 , class LIST_OF_VECTORS2 > | |
| double | mrpt::math::kmeans (const size_t k, const LIST_OF_VECTORS1 &points, std::vector< int > &assignments, LIST_OF_VECTORS2 *out_centers=nullptr, const size_t attempts=3) |
| k-means algorithm to cluster a list of N points of arbitrary dimensionality into exactly K clusters. More... | |
| template<class LIST_OF_VECTORS1 , class LIST_OF_VECTORS2 > | |
| double | mrpt::math::kmeanspp (const size_t k, const LIST_OF_VECTORS1 &points, std::vector< int > &assignments, LIST_OF_VECTORS2 *out_centers=nullptr, const size_t attempts=3) |
| k-means++ algorithm to cluster a list of N points of arbitrary dimensionality into exactly K clusters. More... | |
k-means algorithms | |
| template<class LIST_OF_VECTORS1 , class LIST_OF_VECTORS2 > | |
| double | mrpt::math::kmeans (const size_t k, const LIST_OF_VECTORS1 &points, std::vector< int > &assignments, LIST_OF_VECTORS2 *out_centers=nullptr, const size_t attempts=3) |
| k-means algorithm to cluster a list of N points of arbitrary dimensionality into exactly K clusters. More... | |
| template<class LIST_OF_VECTORS1 , class LIST_OF_VECTORS2 > | |
| double | mrpt::math::kmeanspp (const size_t k, const LIST_OF_VECTORS1 &points, std::vector< int > &assignments, LIST_OF_VECTORS2 *out_centers=nullptr, const size_t attempts=3) |
| k-means++ algorithm to cluster a list of N points of arbitrary dimensionality into exactly K clusters. More... | |