distance.h File Reference

#include <cmath>
#include <cstddef>
#include <type_traits>
#include <utility>
#include "clustering/ndarray.h"
#include "clustering/math/detail/distance_avx2.h"

Include dependency graph for distance.h:

Go to the source code of this file.

Classes
struct	clustering::math::distance::SqEuclideanTag
	Tag selecting the squared Euclidean metric. More...
struct	clustering::math::distance::CosineTag
	Tag selecting the cosine distance metric (1 - cos(angle)). More...
struct	clustering::math::distance::ManhattanTag
	Tag selecting the Manhattan (L1) metric: sum of absolute differences. More...

Namespaces
namespace	clustering
namespace	clustering::math
namespace	clustering::math::distance
namespace	clustering::math::distance::detail

Functions
template<class T, Layout LA, Layout LB>
T	clustering::math::distance::tag_invoke (const detail::PointwiseSqFn &, SqEuclideanTag, const NDArray< T, 1, LA > &a, const NDArray< T, 1, LB > &b) noexcept
	Squared Euclidean distance between two rank-1 NDArrays.
template<class T, Layout LA, Layout LB>
T	clustering::math::distance::tag_invoke (const detail::PointwiseSqFn &, ManhattanTag, const NDArray< T, 1, LA > &a, const NDArray< T, 1, LB > &b) noexcept
	Manhattan (L1) distance between two rank-1 NDArrays.
template<class T, Layout LA, Layout LB>
T	clustering::math::distance::tag_invoke (const detail::PointwiseSqFn &, CosineTag, const NDArray< T, 1, LA > &a, const NDArray< T, 1, LB > &b) noexcept
	Cosine distance between two rank-1 NDArrays.

Variables
constexpr detail::PointwiseSqFn	clustering::math::distance::pointwiseSq {}
	Customization-point object for pairwise squared distances between two rank-1 arrays.