knncolle::ManhattanDistance< Data_, Distance_ > Class Template Reference

Compute Manhattan distances between two input vectors. More...

#include <distances.hpp>

Inheritance diagram for knncolle::ManhattanDistance< Data_, Distance_ >:

Collaboration diagram for knncolle::ManhattanDistance< Data_, Distance_ >:

Additional Inherited Members
Public Member Functions inherited from knncolle::DistanceMetric< Data_, Distance_ >
virtual Distance_	raw (std::size_t num_dimensions, const Data_ *x, const Data_ *y) const =0
virtual Distance_	normalize (Distance_ raw) const =0
virtual Distance_	denormalize (Distance_ norm) const =0
virtual void	save (const std::filesystem::path &dir) const

Detailed Description

template<typename Data_, typename Distance_>
class knncolle::ManhattanDistance< Data_, Distance_ >

Compute Manhattan distances between two input vectors.

Template Parameters

Data_	Numeric type for the input data.
Distance_	Numeric type for the output distance, usually floating-point.

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The documentation for this class was generated from the following file:

• knncolle/distances.hpp