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| struct | nanoflann::L1_Adaptor< T, DataSource, _DistanceType > |
| | Manhattan distance functor (generic version, optimized for high-dimensionality data sets). More...
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| struct | nanoflann::L2_Adaptor< T, DataSource, _DistanceType > |
| | Squared Euclidean distance functor (generic version, optimized for high-dimensionality data sets). More...
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| 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...
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| struct | nanoflann::metric_L1 |
| | Metaprogramming helper traits class for the L1 (Manhattan) metric. More...
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| struct | nanoflann::metric_L2 |
| | Metaprogramming helper traits class for the L2 (Euclidean) metric. More...
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| struct | nanoflann::metric_L2_Simple |
| | Metaprogramming helper traits class for the L2_simple (Euclidean) metric. More...
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