knncpp::EuclideanDistance< Scalar > Struct Template Reference

#include <knncpp.h>

Public Member Functions
template<typename DerivedA , typename DerivedB >
Scalar	operator() (const Eigen::MatrixBase< DerivedA > &lhs, const Eigen::MatrixBase< DerivedB > &rhs) const
Scalar	operator() (const Scalar lhs, const Scalar rhs) const
Scalar	operator() (const Scalar val) const

Detailed Description

template<typename Scalar>
struct knncpp::EuclideanDistance< Scalar >

Euclidean distance functor. This the same as the L2 minkowski distance but more efficient.

See also

ManhattenDistance, ChebyshevDistance, MinkowskiDistance

Definition at line 84 of file knncpp.h.

Member Function Documentation

operator()() [1/3]

template<typename Scalar >

template<typename DerivedA , typename DerivedB >

Scalar knncpp::EuclideanDistance< Scalar >::operator() ( const Eigen::MatrixBase< DerivedA > &  lhs, const Eigen::MatrixBase< DerivedB > &  rhs  ) const

inline

Compute the unrooted distance between two vectors.

Parameters

lhs	vector on left hand side
rhs	vector on right hand side

Definition at line 89 of file knncpp.h.

operator()() [2/3]

template<typename Scalar >

Scalar knncpp::EuclideanDistance< Scalar >::operator() ( const Scalar  lhs, const Scalar  rhs  ) const

inline

Compute the unrooted distance between two scalars.

Parameters

lhs	scalar on left hand side
rhs	scalar on right hand side

Definition at line 104 of file knncpp.h.

operator()() [3/3]

template<typename Scalar >

Scalar knncpp::EuclideanDistance< Scalar >::operator() ( const Scalar  val ) const

inline

Compute the root of a unrooted distance value.

Parameters

value

unrooted distance value

Definition at line 111 of file knncpp.h.

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

• /root/ACloudViewer/plugins/core/Standard/qTreeIso/include/knncpp.h