Metric (distance) classes

Detailed Description

Collaboration diagram for Metric (distance) classes:

Classes
struct	nanoflann::L1_Adaptor< T, DataSource, _DistanceType >
	Manhattan distance functor (generic version, optimized for high-dimensionality data sets). More...
struct	nanoflann::L2_Adaptor< T, DataSource, _DistanceType >
	Squared Euclidean distance functor (generic version, optimized for high-dimensionality data sets). More...
struct	nanoflann::L2_Simple_Adaptor< T, DataSource, _DistanceType >
	Squared Euclidean (L2) distance functor (suitable for low-dimensionality datasets, like 2D or 3D point clouds) Corresponding distance traits: nanoflann::metric_L2_Simple. More...
struct	nanoflann::metric_L1
	Metaprogramming helper traits class for the L1 (Manhattan) metric. More...
struct	nanoflann::metric_L2
	Metaprogramming helper traits class for the L2 (Euclidean) metric. More...
struct	nanoflann::metric_L2_Simple
	Metaprogramming helper traits class for the L2_simple (Euclidean) metric. More...